Triple

T4614932
Position Surface form Disambiguated ID Type / Status
Subject Rajkot railway division E100844 entity
Predicate headquarters P62 FINISHED
Object Rajkot E24131 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: Rajkot | Statement: [Rajkot railway division, headquarters, Rajkot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajkot
Context triple: [Rajkot railway division, headquarters, Rajkot]
  • A. Rajkot chosen
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • B. Bhuj
    Bhuj is a historic city in the Kutch district of Gujarat, India, known for its rich cultural heritage, traditional handicrafts, and role as a regional commercial and administrative center.
  • C. Bhavnagar
    Bhavnagar is a coastal city in western India known for its historic trading port, diamond cutting industry, and cultural heritage within the state of Gujarat.
  • D. Veraval
    Veraval is a coastal city in the Indian state of Gujarat, known historically as a major fishing and port town near the pilgrimage center of Somnath.
  • E. Vadodara
    Vadodara is a major city in western India known for its rich cultural heritage, educational institutions, and industrial development.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c36bfb081908d02a52c6e3affa1 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:12 p.m.