Triple

T22202748
Position Surface form Disambiguated ID Type / Status
Subject Lunawada State E548720 entity
Predicate borderedBy P224 FINISHED
Object Balasinor State 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: Balasinor State | Statement: [Lunawada State, borderedBy, Balasinor State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balasinor State
Context triple: [Lunawada State, borderedBy, Balasinor State]
  • A. Balasinor State chosen
    Balasinor State was a former princely state in western India, located in present-day Gujarat and historically ruled by a Muslim dynasty under British suzerainty.
  • B. Sitamau State
    Sitamau State was a small princely state in what is now Madhya Pradesh, India, that existed under British suzerainty until independence.
  • C. Paldeo State
    Paldeo State was a small princely state in British India that formed part of the Bagelkhand Agency in Central India.
  • D. Ulwar State
    Ulwar State was a former princely state in British India, located in the region of present-day Rajasthan.
  • E. Kalsia State
    Kalsia State was a small princely state in colonial India located in the Cis-Sutlej region of present-day Punjab and Haryana.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b24c6fc81909e6ae62564846bd1 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.