Triple
T36039492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii island airports |
E1042498
|
entity |
| Predicate | haveRunwaysSurface |
P422
|
FINISHED |
| Object | asphalt |
—
|
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: asphalt | Statement: [Hawaii island airports, haveRunwaysSurface, asphalt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveRunwaysSurface Context triple: [Hawaii island airports, haveRunwaysSurface, asphalt]
-
A.
hasRunwaysAt
Indicates that a location or facility possesses one or more runways situated at that place.
-
B.
runwaySurface
chosen
Indicates the type or condition of the surface material that a runway is made of or covered with.
-
C.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
D.
hasGrassRunways
Indicates that the subject location includes one or more runways whose surfaces are made of grass.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.