Triple

T12397028
Position Surface form Disambiguated ID Type / Status
Subject Brinkin E296141 entity
Predicate isNear P350 FINISHED
Object Nakara E296304 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: Nakara | Statement: [Brinkin, isNear, Nakara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakara
Context triple: [Brinkin, isNear, Nakara]
  • A. Nakara chosen
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • B. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • C. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • D. Naklua
    Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
  • E. Noukadubi
    Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea28b508190a2467b9af195e4ed completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:54 p.m.