Triple
T36479246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stapleton Airfield |
E898762
|
entity |
| Predicate | hadRunways |
P126744
|
FINISHED |
| Object | multiple paved runways |
—
|
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: multiple paved runways | Statement: [Stapleton Airfield, hadRunways, multiple paved runways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRunways Context triple: [Stapleton Airfield, hadRunways, multiple paved runways]
-
A.
hasRunwaysAt
chosen
Indicates that a location or facility possesses one or more runways situated at that place.
-
B.
hasRunwayCount
Indicates the number of runways that a given entity (such as an airport) possesses.
-
C.
hasRunwayPlan
Indicates that an entity possesses or is associated with a planned configuration or strategy for a runway.
-
D.
usesRunwayOf
Indicates that one entity makes use of the runway that belongs to or is associated with another entity.
-
E.
hasRunwayNumber
Indicates that an airport or airfield runway is assigned a specific identifying number.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.