Triple

T2486817
Position Surface form Disambiguated ID Type / Status
Subject Sariska Tiger Reserve E55945 entity
Predicate nearestCity P350 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: [Sariska Tiger Reserve, nearestCity, Alwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alwar
Context triple: [Sariska Tiger Reserve, nearestCity, 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. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1782ca081909645164a6acf0ea0 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.