Triple
T24465441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 367-80 |
E616954
|
entity |
| Predicate | introducedJetTransportConceptTo |
P156199
|
FINISHED |
| Object | commercial airline market |
—
|
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: commercial airline market | Statement: [Boeing 367-80, introducedJetTransportConceptTo, commercial airline market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedJetTransportConceptTo Context triple: [Boeing 367-80, introducedJetTransportConceptTo, commercial airline market]
-
A.
aircraftTypeIntroduced
Indicates that a specific type or model of aircraft was first brought into service or made operational at a particular time or by a particular operator.
-
B.
firstJetAirlinerInService
Indicates that the subject is the earliest jet airliner to enter operational service among the compared entities.
-
C.
firstCommercialJetAirliner
Indicates that the subject is the earliest or original commercial jet airliner to enter service, relative to other such aircraft.
-
D.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
E.
firstJetAirlinerInServiceFor
Indicates that the subject is the first jet airliner ever to enter commercial service for the specified operator or context.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298cd2a748190bbb4634e879d89f2 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:19 a.m.