Triple

T18836508
Position Surface form Disambiguated ID Type / Status
Subject Katni district E460678 entity
Predicate hasTown P847 FINISHED
Object Barhi NE NERFINISHED

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: Barhi | Statement: [Katni district, hasTown, Barhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barhi
Context triple: [Katni district, hasTown, Barhi]
  • A. Barhi
    Barhi is a town in the Indian state of Jharkhand that serves as a local transport and commercial hub along a major national highway corridor.
  • B. Jimma
    Jimma is a city in southwestern Ethiopia known as a major center of coffee production and regional trade.
  • C. Jhelumi
    Jhelumi is a regional dialect of the Potohari language spoken primarily in and around the Jhelum area of Pakistan.
  • D. Barhi town chosen
    Barhi town is a small urban settlement in India known for its proximity to an industrial area that supports local economic activity.
  • E. Parachinar
    Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.