Triple

T13053713
Position Surface form Disambiguated ID Type / Status
Subject Central Uttar Pradesh E327511 entity
Predicate hasMajorCity P316 FINISHED
Object Farrukhabad E302026 NE FINISHED

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: Farrukhabad | Statement: [Central Uttar Pradesh, hasMajorCity, Farrukhabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrukhabad
Context triple: [Central Uttar Pradesh, hasMajorCity, Farrukhabad]
  • A. Farrukhabad chosen
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • 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. Unnao
    Unnao is a city in northern India known for its historical significance and its location between the major urban centers of Lucknow and Kanpur in Uttar Pradesh.
  • D. Ghazipur
    Ghazipur is a city in the Indian state of Uttar Pradesh, known for its historical significance and as a regional hub in eastern Uttar Pradesh.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a20a5ec8190bc054b3d7cae003b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 8:58 p.m.