Triple

T7456337
Position Surface form Disambiguated ID Type / Status
Subject Barquisimeto E172131 entity
Predicate countrySubdivision P766 FINISHED
Object Lara State E665764 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: Lara State | Statement: [Barquisimeto, countrySubdivision, Lara State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara State
Context triple: [Barquisimeto, countrySubdivision, Lara State]
  • A. Lara State chosen
    Lara State is a federal state in northwestern Venezuela known for its capital Barquisimeto, a major cultural and economic center.
  • B. Jaora State
    Jaora State was a princely state in British India, located in what is now Madhya Pradesh and ruled by a Muslim dynasty under British suzerainty.
  • C. Las Bela State
    Las Bela State was a former princely state in the Baluchistan region of British India, located along the Arabian Sea coast in what is now southwestern Pakistan.
  • D. Jasdan State
    Jasdan State was a former princely state in western India historically governed by the Jadeja Rajput dynasty.
  • E. Panna State
    Panna State was a former princely state in central India, historically ruled by Bundela Rajputs and known for its diamond mines and later incorporation into the Indian Union.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f494b481908c1860ad1662fa92 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:15 p.m.