Triple

T1044162
Position Surface form Disambiguated ID Type / Status
Subject Kathiawar Agency E22537 entity
Predicate capital P234 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: [Kathiawar Agency, capital, Rajkot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajkot
Context triple: [Kathiawar Agency, capital, 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. 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.
  • C. Vadodara
    Vadodara is a major city in western India known for its rich cultural heritage, educational institutions, and industrial development.
  • D. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • E. Kolhapur
    Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8475ab48190848388eea6448cb6 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5485ad48190aa56e6228dc98e19 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:42 p.m.