Triple

T10084249
Position Surface form Disambiguated ID Type / Status
Subject Rampur district E215178 entity
Predicate hasTown P847 FINISHED
Object Tanda
Tanda is a town located in the Rampur district of the Indian state of Uttar Pradesh.
 E841488 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: Tanda | Statement: [Rampur district, hasTown, Tanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tanda
Context triple: [Rampur district, hasTown, Tanda]
  • A. Tanda
    Tanda was a historic city in Bengal that served as an important political and administrative center under the Karrani dynasty in the 16th century.
  • B. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • C. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • D. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • E. Tafahi
    Tafahi is a small, steep volcanic island in the northernmost part of Tonga, known for its conical shape and relative isolation within the Niuas island group.
  • 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: Tanda
Triple: [Rampur district, hasTown, Tanda]
Generated description
Tanda is a town located in the Rampur district of the Indian state of Uttar Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tanda
Target entity description: Tanda is a town located in the Rampur district of the Indian state of Uttar Pradesh.
  • A. Tanda
    Tanda was a historic city in Bengal that served as an important political and administrative center under the Karrani dynasty in the 16th century.
  • B. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • C. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • D. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • E. Tafahi
    Tafahi is a small, steep volcanic island in the northernmost part of Tonga, known for its conical shape and relative isolation within the Niuas island group.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2ba645ec08190b33388a40ca7582e completed April 5, 2026, 7:39 p.m.
NED2 Entity disambiguation (via description) batch_69d2babd01908190b5c9f9c3541361ee completed April 5, 2026, 7:40 p.m.
Created at: March 30, 2026, 9 p.m.