Triple

T33659839
Position Surface form Disambiguated ID Type / Status
Subject B712 E862320 entity
Predicate aircraftLineage P17727 FINISHED
Object McDonnell Douglas MD-95 NE NERFINISHED

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: McDonnell Douglas MD-95 | Statement: [B712, aircraftLineage, McDonnell Douglas MD-95]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftLineage
Context triple: [B712, aircraftLineage, McDonnell Douglas MD-95]
  • A. notableAircraftFamily
    Indicates that one entity is a well-known or historically significant family or series of aircraft associated with the other entity.
  • B. formerAircraft
    Indicates that an entity was previously used or designated as an aircraft but no longer holds that status.
  • C. aircraftGeneration chosen
    Indicates a generational relationship between aircraft, such as one model being a successor, predecessor, or belonging to a specific generation relative to another.
  • D. subjectAircraftNotableVariant
    Indicates that the subject aircraft has a notable or significant variant related to it.
  • E. aircraftIntroducedOfAircraft
    Indicates that a specific aircraft model was introduced or entered service on a particular date or in a particular time period.
  • F. None of above.

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_69f34984c4008190bb82f33a7819da64 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f71fb1ab3881908e2f7c0e6f23db49 completed May 3, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 1:42 a.m.