Triple

T15648269
Position Surface form Disambiguated ID Type / Status
Subject Banaskantha district E376236 entity
Predicate hasNotablePlace P10233 FINISHED
Object Palanpur E957667 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: Palanpur | Statement: [Banaskantha district, hasNotablePlace, Palanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palanpur
Context triple: [Banaskantha district, hasNotablePlace, 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 (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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7568028481908caa1e49541bbcf1 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:15 a.m.