Triple
T14982750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Havilland Comet |
E373620
|
entity |
| Predicate | firstCommercialJetAirliner |
P116933
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [de Havilland Comet, firstCommercialJetAirliner, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCommercialJetAirliner Context triple: [de Havilland Comet, firstCommercialJetAirliner, true]
-
A.
firstJetAirlinerInServiceFor
Indicates that the subject is the first jet airliner ever to enter commercial service for the specified operator or context.
-
B.
firstCommercialFlight
Indicates that the subject entity operated or was involved in the earliest commercial flight associated with the object entity (such as a route, aircraft type, or service).
-
C.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
D.
firstCommercialFlightDate
Indicates the calendar date on which an entity’s first commercial flight or revenue-earning air service took place.
-
E.
firstFlightWithEngine
Indicates that the subject entity represents the first flight event in which the specified engine was used or operated.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:52 a.m.