Triple

T5734481
Position Surface form Disambiguated ID Type / Status
Subject Jhansi Municipal Corporation E126466 entity
Predicate jurisdiction P82 FINISHED
Object Jhansi city 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 city | Statement: [Jhansi Municipal Corporation, jurisdiction, Jhansi city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhansi city
Context triple: [Jhansi Municipal Corporation, jurisdiction, Jhansi city]
  • 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. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • C. 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.
  • D. Chanderi
    Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
  • E. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • 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_69c62cddd8188190928e01ba450637c2 completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 3:47 p.m.