Triple

T17264508
Position Surface form Disambiguated ID Type / Status
Subject Europrop International E419089 entity
Predicate product P490 FINISHED
Object TP400-D6 E419090 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: TP400-D6 | Statement: [Europrop International, product, TP400-D6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TP400-D6
Context triple: [Europrop International, product, TP400-D6]
  • A. TP400-D6 chosen
    The TP400-D6 is a high-power turboprop aircraft engine developed by Europrop International, best known for powering the Airbus A400M military transport aircraft.
  • B. D40
    D40 is the third-generation Nissan Navara mid-size pickup truck platform produced globally in the mid-2000s to 2010s.
  • C. Apollo DN400
    The Apollo DN400 was an early 1980s Apollo Computer workstation model known for its role in advancing networked, domain-based engineering and technical computing environments.
  • D. TX-4
    TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
  • E. P40DC
    The P40DC is a diesel-electric passenger locomotive built by General Electric for Amtrak’s long-distance and intercity services in the United States.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171054f388190bf068ca2e6b88458 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:40 a.m.