Triple

T14787905
Position Surface form Disambiguated ID Type / Status
Subject Sitapur district E347574 entity
Predicate locatedNorthOf P305 FINISHED
Object Lucknow E22159 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: Lucknow | Statement: [Sitapur district, locatedNorthOf, Lucknow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucknow
Context triple: [Sitapur district, locatedNorthOf, Lucknow]
  • A. Lucknow chosen
    Lucknow is the capital city of the Indian state of Uttar Pradesh, renowned for its rich cultural heritage, refined Urdu literature, Awadhi cuisine, and elegant Mughal and colonial-era architecture.
  • B. Lucknow
    Lucknow is a small rural community in Bruce County, Ontario, Canada, known for its agricultural character and local festivals.
  • C. Kanpur
    Kanpur is a major industrial city in the northern Indian state of Uttar Pradesh, historically significant as a key site of conflict during the Indian Rebellion of 1857.
  • D. Kanpur Central
    Kanpur Central is one of the busiest and largest railway stations in North India, serving as a major junction and transit hub in the city of Kanpur, Uttar Pradesh.
  • E. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.