Triple

T21820423
Position Surface form Disambiguated ID Type / Status
Subject Ambaji Temple E538709 entity
Predicate accessibleFromCity P125473 FINISHED
Object Palanpur 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: Palanpur | Statement: [Ambaji Temple, accessibleFromCity, Palanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palanpur
Context triple: [Ambaji Temple, accessibleFromCity, Palanpur]
  • A. Palanpur chosen
    Palanpur is a prominent town in northern Gujarat, India, known historically as the former capital of the princely state of Palanpur and an important regional commercial center.
  • B. 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.
  • C. Amreli
    Amreli is a city in the Indian state of Gujarat known as an administrative, commercial, and cultural center for the surrounding region.
  • 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. 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.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912d414c81909c109c3e45b6e7d2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.