Triple
T36708705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIA Terminal 4 |
E906734
|
entity |
| Predicate | hasLandsideFacilities |
P199399
|
FINISHED |
| Object | check-in counters |
—
|
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: check-in counters | Statement: [NAIA Terminal 4, hasLandsideFacilities, check-in counters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandsideFacilities Context triple: [NAIA Terminal 4, hasLandsideFacilities, check-in counters]
-
A.
hasAirsideFacilities
Indicates that one entity provides or contains facilities located within the secure airside area of an airport that are available to or 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.
hasLandsideConnection
Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
-
D.
hasLandsideArea
chosen
Indicates that one entity includes or is associated with a landside area, typically the non-airside portion of a transport or terminal facility.
-
E.
hasNightLandingFacilities
Indicates that a location or facility is equipped to support aircraft landings during nighttime conditions.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.