Triple
T1116606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury program |
E11114
|
entity |
| Predicate | numberOfUncrewedFlights |
P16902
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Mercury program, numberOfUncrewedFlights, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUncrewedFlights Context triple: [Mercury program, numberOfUncrewedFlights, 20]
-
A.
numberOfUncrewedMissions
chosen
Indicates the total count of missions carried out without any crew on board.
-
B.
numberOfCrewedLandings
Indicates the count of distinct landing events that involved a crewed (human-occupied) spacecraft.
-
C.
firstUncrewedTestFlight
Indicates the event of conducting the initial test flight of a vehicle or system without any crew onboard.
-
D.
firstUncrewedTestFlightMission
Indicates that the subject is the first mission in which a spacecraft or launch system is tested in flight without any crew onboard.
-
E.
secondUncrewedTestFlight
Indicates that the event is the second test flight conducted without any crew on board.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.