Triple

T19933945
Position Surface form Disambiguated ID Type / Status
Subject Sir Syed Ahmad Khan E479126 entity
Predicate deathPlace P21 FINISHED
Object Aligarh NE NERFINISHED

How this triple was built (2 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: Aligarh | Statement: [Sir Syed Ahmad Khan, deathPlace, Aligarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aligarh
Context triple: [Sir Syed Ahmad Khan, deathPlace, Aligarh]
  • A. Aligarh chosen
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • B. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • C. Farrukhabad
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • D. Bareilly
    Bareilly is a historic city in the Indian state of Uttar Pradesh, known as a major center of the 1857 uprising against British colonial rule and now an important commercial and cultural hub.
  • E. Meerut
    Meerut is a historic city in the Indian state of Uttar Pradesh, known as the place where the Indian Rebellion of 1857 first erupted against British colonial rule.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1553348190a6c4004d3f9a57c5 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.