Triple
T16741354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH-47F Chinook |
E406840
|
entity |
| Predicate | canBeAerialRefueled |
P124460
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CH-47F Chinook, canBeAerialRefueled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAerialRefueled Context triple: [CH-47F Chinook, canBeAerialRefueled, true]
-
A.
hasRefuellingCapabilityFor
Indicates that one entity is capable of providing or performing refuelling operations for another entity.
-
B.
airRefuellingMethod
Indicates the method or technique used to transfer fuel between aircraft during in-flight refuelling.
-
C.
hasAerialAppearance
Indicates that something has a visual form or look that is characteristic of being in, from, or related to the air or sky.
-
D.
aircraftTanker
Indicates that one aircraft is serving as an aerial refueling tanker for another aircraft.
-
E.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3e87348190acaf7c40e8f8b566 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:21 a.m.