Triple

T12161644
Position Surface form Disambiguated ID Type / Status
Subject Jhunjhunu district E289722 entity
Predicate namedAfter P63 FINISHED
Object Jhunjhunu city E822588 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: Jhunjhunu city | Statement: [Jhunjhunu district, namedAfter, Jhunjhunu city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhunjhunu city
Context triple: [Jhunjhunu district, namedAfter, Jhunjhunu city]
  • A. Jhunjhunu chosen
    Jhunjhunu is a city and district in the northeastern part of Rajasthan, India, known for its historic havelis, rich Marwari heritage, and role as a prominent center of education and military recruitment.
  • B. Bikaner
    Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
  • C. Saharanpur
    Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
  • 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. 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.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739668f3481909cc7564c3ede2896 completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:50 p.m.