Triple

T22543519
Position Surface form Disambiguated ID Type / Status
Subject Gaya Junction railway station E557356 entity
Predicate locatedIn P40 FINISHED
Object Gaya district 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: Gaya district | Statement: [Gaya Junction railway station, locatedIn, Gaya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaya district
Context triple: [Gaya Junction railway station, locatedIn, Gaya district]
  • A. Gaya district chosen
    Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
  • B. Buka District
    Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
  • C. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • D. Suruh District
    Suruh District is an administrative subdistrict within Semarang Regency in Central Java, Indonesia, comprising several rural villages and local communities.
  • E. Nomi District
    Nomi District is a rural administrative district located in Ishikawa Prefecture on Japan’s main island of Honshu.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f33c9cc819086d098f36e4121dc completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.