Triple

T11422313
Position Surface form Disambiguated ID Type / Status
Subject Delhi NCR E270654 entity
Predicate hasMajorCity P316 FINISHED
Object Alwar E59873 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: Alwar | Statement: [Delhi NCR, hasMajorCity, Alwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alwar
Context triple: [Delhi NCR, hasMajorCity, Alwar]
  • A. Alwar chosen
    Alwar is a historic city in northern India known for its forts, palaces, and proximity to the Sariska Tiger Reserve.
  • B. Aalwar
    Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
  • C. Alwar State
    Alwar State was a princely state in northern India, ruled by Rajput princes and later integrated into the modern state of Rajasthan after Indian independence.
  • D. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • E. Sholinghur
    Sholinghur is a historic town in Tamil Nadu, India, known for its role in 18th-century Anglo-Mysore conflicts and its prominent hilltop temples.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.