Triple

T9044623
Position Surface form Disambiguated ID Type / Status
Subject EcoTec3 V8 E216722 entity
Predicate designedFor P98 FINISHED
Object SUVs E205176 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: SUVs | Statement: [EcoTec3 V8, designedFor, SUVs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SUVs
Context triple: [EcoTec3 V8, designedFor, SUVs]
  • A. SUV
    SUV is the IATA airport code for Nausori International Airport, which serves Suva, the capital of Fiji.
  • B. Opel SUVs
    Opel SUVs are a range of sport utility vehicles produced by the German automaker Opel, known for their practical design, family-friendly interiors, and European styling.
  • C. Chevrolet SUVs chosen
    Chevrolet SUVs are a line of sport utility vehicles produced by Chevrolet, known for their spacious interiors, towing capability, and availability of powerful V8 engines.
  • D. Buick SUVs
    Buick SUVs are a line of sport utility vehicles from the Buick brand known for their comfortable, refined ride and upscale, quiet interiors.
  • E. Trucks
    "Trucks" is a horror short story by Stephen King in which driverless, malevolent trucks besiege a group of people trapped at a remote truck stop.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.