Triple
T1205382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Packard V-1650 |
E25875
|
entity |
| Predicate | firstFlightService |
P25557
|
FINISHED |
| Object | early 1940s |
—
|
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: early 1940s | Statement: [Packard V-1650, firstFlightService, early 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightService Context triple: [Packard V-1650, firstFlightService, early 1940s]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
firstFlightPayload
Indicates that the object is the payload carried on an entity’s first flight.
-
C.
lastFlight
Indicates that one flight is the final or most recent flight taken or operated by a given entity within a specified context or sequence.
-
D.
firstFlybyBy
Indicates that one entity was the spacecraft, probe, or mission that performed the first flyby of another entity (such as a celestial body or target).
-
E.
flightStyle
Indicates the characteristic manner or pattern in which an entity performs or exhibits flight.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bcc82e38819081c3615e1cc7a66f |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:46 p.m.