Triple

T3024030
Position Surface form Disambiguated ID Type / Status
Subject National Capital Region of India E82532 entity
Predicate includesCity P3207 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: [National Capital Region of India, includesCity, Alwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alwar
Context triple: [National Capital Region of India, includesCity, 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. 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.
  • C. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • D. Dindori
    Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
  • E. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abac0288190a30b42674eea501f completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb342008190bec8fbaa4074d40c completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.