Triple

T5064745
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 607 E114115 entity
Predicate successor P78 FINISHED
Object Peugeot 508 E109229 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: Peugeot 508 | Statement: [Peugeot 607, successor, Peugeot 508]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peugeot 508
Context triple: [Peugeot 607, successor, Peugeot 508]
  • A. Peugeot 508 chosen
    The Peugeot 508 is a mid-size family car produced by the French automaker Peugeot, known for its sleek design, comfortable ride, and range of efficient engines.
  • B. Peugeot 5008
    The Peugeot 5008 is a mid-size crossover SUV, originally launched as an MPV, known for its seven-seat practicality and modern French styling.
  • C. Peugeot 4007
    The Peugeot 4007 is a compact crossover SUV developed by Peugeot in collaboration with Mitsubishi, based on the Outlander platform and produced primarily for the European market.
  • D. Peugeot 308
    The Peugeot 308 is a compact family hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and comfortable ride.
  • E. Peugeot 2008
    The Peugeot 2008 is a subcompact crossover SUV produced by the French automaker Peugeot, known for its urban-friendly size, modern styling, and efficient engines.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49ae8c081908ef8c2e2dbbe3b49 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.