Triple
T36708707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIA Terminal 4 |
E906734
|
entity |
| Predicate | hasAirsideFacilities |
P186182
|
FINISHED |
| Object | boarding gates |
—
|
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: boarding gates | Statement: [NAIA Terminal 4, hasAirsideFacilities, boarding gates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirsideFacilities Context triple: [NAIA Terminal 4, hasAirsideFacilities, boarding gates]
-
A.
hasAirsideCenter
Indicates that one entity serves as or contains the designated airside center associated with another entity.
-
B.
hasLandingFacilities
Indicates that a location or structure is equipped with facilities that allow aircraft or other vehicles to land there.
-
C.
hasAirsideConnection
Indicates that there is a direct, secure connection between areas past security (airside) of two locations, allowing passengers to transfer without re-clearing security or immigration.
-
D.
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.
-
E.
hasNightLandingFacilities
Indicates that a location or facility is equipped to support aircraft landings during nighttime conditions.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:12 p.m.