Triple
T35820610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 24R at LAX |
E1035488
|
entity |
| Predicate | isOnSideOfAirport |
P72545
|
FINISHED |
| Object | north complex |
—
|
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: north complex | Statement: [Runway 24R at LAX, isOnSideOfAirport, north complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnSideOfAirport Context triple: [Runway 24R at LAX, isOnSideOfAirport, north complex]
-
A.
hasRelativePositionAtAirport
chosen
Indicates that one entity has a specific spatial or positional relationship to another entity within the context or layout of an airport.
-
B.
isLocatedAtAirportType
Indicates that one entity is situated at, or associated with, an airport of a specified type (e.g., international, regional, military).
-
C.
isAirside
Indicates that something is located within the secure, restricted-access area of an airport beyond security checkpoints, typically accessible only to authorized personnel and ticketed passengers.
-
D.
hasAirportInVicinity
Indicates that an entity is located near or served by an airport in its surrounding area.
-
E.
hasNearbyGeneralAviationAirport
Indicates that an entity is located close to a general aviation airport, such that the airport can reasonably serve it for non-commercial or private air traffic.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.