Triple

T5734506
Position Surface form Disambiguated ID Type / Status
Subject Jhansi Municipal Corporation E126466 entity
Predicate locatedIn P40 FINISHED
Object Jhansi E22224 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: Jhansi | Statement: [Jhansi Municipal Corporation, locatedIn, Jhansi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhansi
Context triple: [Jhansi Municipal Corporation, locatedIn, Jhansi]
  • A. Jhansi chosen
    Jhansi is a historic city in northern India, renowned for its strategic fort and its central role in the 1857 uprising against British colonial rule.
  • B. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • C. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • D. Shahjahanpur
    Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
  • E. Chanderi
    Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63845f4d481909d2b2a73bf4c0233 completed March 27, 2026, 7:56 a.m.
Created at: March 22, 2026, 3:47 p.m.