Triple

T16179943
Position Surface form Disambiguated ID Type / Status
Subject Renault Captur E392657 entity
Predicate competitor P1375 FINISHED
Object Ford Puma E906140 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: Ford Puma | Statement: [Renault Captur, competitor, Ford Puma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Puma
Context triple: [Renault Captur, competitor, Ford Puma]
  • A. Ford Puma chosen
    The Ford Puma is a compact crossover SUV produced by Ford Europe, known for its sporty styling, efficient engines, and practical urban-friendly design.
  • B. Ford Focus
    The Ford Focus is a popular compact car known for its agile handling, practicality, and strong sales in global markets.
  • C. The Ford
    The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
  • D. Ford Mustang
    The Ford Mustang is an iconic American sports car known for its powerful performance, distinctive styling, and central role in popular car culture since the 1960s.
  • E. Ford LTD
    The Ford LTD was a full-size American automobile produced by Ford from the mid-1960s through the 1980s, known for its spacious interior and traditional body-on-frame construction.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.