Triple

T1517715
Position Surface form Disambiguated ID Type / Status
Subject Pepa E32157 entity
Predicate relatedInstrument P7726 FINISHED
Object Karnal E90740 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: Karnal | Statement: [Pepa, relatedInstrument, Karnal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karnal
Context triple: [Pepa, relatedInstrument, Karnal]
  • A. Ferozepur
    Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
  • B. Karnal district chosen
    Karnal district is an administrative region in northern India known for its agricultural productivity and historical significance within the state of Haryana.
  • C. Yamunanagar
    Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
  • D. Ambala
    Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
  • E. Kathiawar
    Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eb7d108190bf26199744d510d7 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6085199c8190868aef3c28842d4e completed March 8, 2026, 11:41 a.m.
Created at: March 4, 2026, 7:26 p.m.