Triple

T12153293
Position Surface form Disambiguated ID Type / Status
Subject Alwar Junction E289510 entity
Predicate serves P98 FINISHED
Object Alwar city 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 city | Statement: [Alwar Junction, serves, Alwar city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alwar city
Context triple: [Alwar Junction, serves, Alwar city]
  • A. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • B. Chanderi
    Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
  • C. Alwar chosen
    Alwar is a historic city in northern India known for its forts, palaces, and proximity to the Sariska Tiger Reserve.
  • D. Raisinghnagar
    Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
  • E. Warangal
    Warangal is a historic city in southern India known for its Kakatiya-era forts, temples, and monuments, and is one of the major urban centers of the state of Telangana.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9868ec81909efd7e142d5fb090 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:50 p.m.