Triple

T2169341
Position Surface form Disambiguated ID Type / Status
Subject Chandrayaan-3 E46985 entity
Predicate landerName P37343 FINISHED
Object Vikram
Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
 E239149 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vikram | Statement: [Chandrayaan-3, landerName, Vikram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vikram
Context triple: [Chandrayaan-3, landerName, Vikram]
  • A. Vikram
    Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
  • B. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • C. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • D. Shatrughna
    Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
  • E. Rama
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vikram
Triple: [Chandrayaan-3, landerName, Vikram]
Generated description
Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vikram
Target entity description: Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
  • A. Vikram
    Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
  • B. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • C. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • D. Shatrughna
    Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
  • E. Rama
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: landerName
Context triple: [Chandrayaan-3, landerName, Vikram]
  • A. eraName
    Indicates the named historical or chronological era associated with an entity or time period.
  • B. continentNamedAfter
    Indicates that a continent bears a name derived from or given in honor of a particular person, place, or entity.
  • C. straitNamedAfter
    Indicates that a strait bears a name derived from or in honor of a particular entity.
  • D. eponymCountry
    Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
  • E. nameDayRegion
    Indicates the region or geographic area in which a particular name day is observed or recognized.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f511a08190880fbde8900d59df completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59a9b010819081491e988184b386 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abc153b22481908115e5f582c93f12 completed March 7, 2026, 6:10 a.m.
Created at: March 4, 2026, 7:45 p.m.