Triple
T10299124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 01R/19L |
E241577
|
entity |
| Predicate | runwaySide |
P53415
|
FINISHED |
| Object | right for heading 01 |
—
|
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: right for heading 01 | Statement: [Runway 01R/19L, runwaySide, right for heading 01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runwaySide Context triple: [Runway 01R/19L, runwaySide, right for heading 01]
-
A.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
B.
hasRunwaySide
chosen
Indicates that a runway is located on or associated with a particular side or boundary of another feature (such as an airport or airfield area).
-
C.
runwaySurface
Indicates the type or condition of the surface material that a runway is made of or covered with.
-
D.
runwayEnd
Indicates that one entity represents the end point or terminus of a runway associated with the other entity.
-
E.
runwayWidth
Indicates the measured width of a runway as a spatial dimension.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ee10f88190b1615c49b8f24a26 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:44 a.m.