Triple
T37551850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grizzly Hills |
E933606
|
entity |
| Predicate | hasFlightPoint |
P99973
|
FINISHED |
| Object | Amberpine Lodge |
—
|
NE NERFINISHED |
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: Amberpine Lodge | Statement: [Grizzly Hills, hasFlightPoint, Amberpine Lodge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlightPoint Context triple: [Grizzly Hills, hasFlightPoint, Amberpine Lodge]
-
A.
hasFlightCharacteristic
Indicates that an entity possesses a specific property, quality, or behavior related to flight.
-
B.
positionFlown
Indicates the specific role or seat (e.g., pilot, co-pilot) that an individual occupied while operating or flying in an aircraft.
-
C.
hasWaypoint
chosen
Indicates that an entity follows a path or route that includes a specific intermediate location (waypoint) along its trajectory.
-
D.
hasFlightNumber
Indicates that a specific flight is identified or labeled by a particular flight number.
-
E.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.