Triple

T12118496
Position Surface form Disambiguated ID Type / Status
Subject Sikar Junction E288627 entity
Predicate connectsTo P845 FINISHED
Object Churu E950708 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: Churu | Statement: [Sikar Junction, connectsTo, Churu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Churu
Context triple: [Sikar Junction, connectsTo, Churu]
  • A. Churu chosen
    Churu is a town in the Shekhawati region of Rajasthan, India, known for its desert landscape and richly painted havelis.
  • B. Churu district
    Churu district is an administrative region in the northern part of Rajasthan, India, known for its arid desert landscape, extreme temperatures, and traditional Rajasthani culture.
  • C. Chamba
    Chamba is a historic town in the Indian state of Himachal Pradesh, known for its ancient temples, hill landscapes, and rich cultural heritage in the Himalayan region.
  • D. Chamba
    The Chamba are an ethnic group in Central and West Africa, primarily found in Nigeria and Cameroon, known for their distinct language, cultural traditions, and historical kingdoms.
  • E. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f682397c819085a86a98e079660b completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.