Triple
T900518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American X-15 |
E19434
|
entity |
| Predicate | totalFlights |
P4899
|
FINISHED |
| Object | 199 |
—
|
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: 199 | Statement: [North American X-15, totalFlights, 199]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalFlights Context triple: [North American X-15, totalFlights, 199]
-
A.
numberOfFlights
chosen
Indicates the total count of flights associated with a given entity or within a specified context.
-
B.
hasScheduledFlights
Indicates that there are one or more flights planned and set to occur between the related entities according to a schedule.
-
C.
numberOfPlanes
Indicates the quantity of planes associated with or involved in a given entity or situation.
-
D.
totalPeopleFlown
Indicates the total number of people who have been transported by a given flight, airline, or transportation operation.
-
E.
hasTypeOfFlights
Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.