Triple

T1794566
Position Surface form Disambiguated ID Type / Status
Subject Yes E39573 entity
Predicate associatedAct P37 FINISHED
Object GTR E118728 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: GTR | Statement: [Yes, associatedAct, GTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTR
Context triple: [Yes, associatedAct, GTR]
  • A. GTS 350
    The GTS 350 is a high-performance V8 variant of the Holden Monaro, renowned among Australian muscle car enthusiasts for its power and motorsport heritage.
  • B. Nissan GT-R chosen
    The Nissan GT-R is a high-performance Japanese sports car renowned for its advanced all-wheel-drive technology, powerful twin-turbo engine, and exceptional track capabilities.
  • C. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • D. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • E. Carrera
    Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653daa0c8190a5d96c20c8a0af15 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d49d7481909dcb5cc54b92e3cc completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.