Triple

T1075673
Position Surface form Disambiguated ID Type / Status
Subject Chowpatty Beach, Porbandar E23831 entity
Predicate locatedIn P40 FINISHED
Object Porbandar E103049 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: Porbandar | Statement: [Chowpatty Beach, Porbandar, locatedIn, Porbandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porbandar
Context triple: [Chowpatty Beach, Porbandar, locatedIn, Porbandar]
  • A. Porbandar chosen
    Porbandar is a coastal city in the Indian state of Gujarat, best known as the birthplace of Mahatma Gandhi and an important historical and religious center.
  • 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. Karwar
    Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
  • D. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • E. 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.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92e480c81909a848b48c196a293 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8303cbec8190a3b8a9bad2434ee7 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:42 p.m.