Triple

T12013287
Position Surface form Disambiguated ID Type / Status
Subject GM E-body E285958 entity
Predicate platformSuccessor P102666 FINISHED
Object GM E/K-body front-wheel-drive platforms of the late 1980s LITERAL 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: GM E/K-body front-wheel-drive platforms of the late 1980s | Statement: [GM E-body, platformSuccessor, GM E/K-body front-wheel-drive platforms of the late 1980s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: platformSuccessor
Context triple: [GM E-body, platformSuccessor, GM E/K-body front-wheel-drive platforms of the late 1980s]
  • A. successorSoftware
    Indicates that one software product directly follows and replaces another as its newer version or update.
  • B. successorManufacturer
    Indicates that one manufacturer has taken over, replaced, or continued the role or operations of another manufacturer as its successor.
  • C. successorSystem
    Indicates that one system directly follows and replaces another in function, role, or version.
  • D. successorEngineFamily
    Indicates that one engine family directly follows and replaces another in a product or development lineage.
  • E. laterPlatform
    Indicates that one entity occurs, appears, or is positioned on a platform that comes after another platform in time or sequence.
  • F. None of above. chosen

Provenance (4 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d884488190b4450a98088208ef completed April 10, 2026, 2:06 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d9038e39f881908c58c19802ba2eb0 completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.