Triple
T15800264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N739PA |
E383078
|
entity |
| Predicate | numberOfPassengersOnFinalFlight |
P120115
|
FINISHED |
| Object | 243 |
—
|
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: 243 | Statement: [N739PA, numberOfPassengersOnFinalFlight, 243]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPassengersOnFinalFlight Context triple: [N739PA, numberOfPassengersOnFinalFlight, 243]
-
A.
finalFlightNumber
Indicates the flight number assigned to the last or concluding segment of a journey or itinerary.
-
B.
quantityFlown
Indicates the amount or volume that has been transported by flying from one place to another.
-
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.
lastFlightWith
Indicates that one flight is the most recent flight taken by or associated with a given entity in relation to another entity or context.
-
E.
numberOfCaptiveFlights
Indicates the number of flights during which an entity is held or transported in captivity.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:48 a.m.