Triple

T14612922
Position Surface form Disambiguated ID Type / Status
Subject Batroun District E343004 entity
Predicate containsSettlement P847 FINISHED
Object Rachana
Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
E1111244 NE FINISHED

How this triple was built (4 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: Rachana | Statement: [Batroun District, containsSettlement, Rachana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachana
Context triple: [Batroun District, containsSettlement, Rachana]
  • A. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • B. Divya Saasha
    Divya Saasha is the daughter of popular Indian actor Vijay, known for largely staying out of the public spotlight despite her father's fame.
  • C. Kavya
    Kavya is a classical Sanskrit poetic and literary style characterized by ornate language, rich imagery, and refined aesthetic expression.
  • D. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • E. Maryada Ramanna
    Maryada Ramanna is a 2010 Telugu-language comedy thriller film directed by S. S. Rajamouli, known for its blend of humor, suspense, and a village feud backdrop.
  • 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: Rachana
Triple: [Batroun District, containsSettlement, Rachana]
Generated description
Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachana
Target entity description: Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
  • A. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • B. Divya Saasha
    Divya Saasha is the daughter of popular Indian actor Vijay, known for largely staying out of the public spotlight despite her father's fame.
  • C. Kavya
    Kavya is a classical Sanskrit poetic and literary style characterized by ornate language, rich imagery, and refined aesthetic expression.
  • D. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • E. Maryada Ramanna
    Maryada Ramanna is a 2010 Telugu-language comedy thriller film directed by S. S. Rajamouli, known for its blend of humor, suspense, and a village feud backdrop.
  • F. None of above. chosen

Provenance (5 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb35a57f08190a2d3fe426185bc31 completed May 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69fdb400e08081908d0a782908ba5459 completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.