Triple
T37871525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convair 580 |
E944616
|
entity |
| Predicate | firstFlightAs580 |
P28082
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Convair 580, firstFlightAs580, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightAs580 Context triple: [Convair 580, firstFlightAs580, 1960]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
C.
firstJetAirlinerInService
Indicates that the subject is the earliest jet airliner to enter operational service among the compared entities.
-
D.
firstFlightOnType
Indicates that an entity represents the first flight event conducted with a particular aircraft type or model.
-
E.
firstFlownAt
chosen
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.