Triple
T16303264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kounotori |
E395841
|
entity |
| Predicate | numberOfSuccessfulFlights |
P99862
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Kounotori, numberOfSuccessfulFlights, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuccessfulFlights Context triple: [Kounotori, numberOfSuccessfulFlights, 9]
-
A.
numberOfLandings
Indicates the total count of times a landing event has occurred for the given entity or context.
-
B.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
C.
successfulLaunches
Indicates that one entity has carried out one or more launches that achieved their intended objectives without failure.
-
D.
firstFlightDistance
Indicates the distance covered during an entity’s first recorded flight.
-
E.
numberOfSuccessfulMissions
chosen
Indicates the count of missions that have been completed successfully by the referenced entity or within the specified context.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e35157481909e5604b7dae7a2a2 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.