Triple

T3453852
Position Surface form Disambiguated ID Type / Status
Subject Gir National Park E72854 entity
Predicate nearestCity P350 FINISHED
Object Junagadh E77648 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: Junagadh | Statement: [Gir National Park, nearestCity, Junagadh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junagadh
Context triple: [Gir National Park, nearestCity, Junagadh]
  • A. Junagadh chosen
    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.
  • B. Surendranagar
    Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
  • C. 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.
  • D. 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.
  • E. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa457fc8190824ca00254e962f9 completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb5f8c08190875331bdc72fde0b completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:16 p.m.