Triple
T36655256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 4 (Ninoy Aquino International Airport) |
E904969
|
entity |
| Predicate | internationalFlightsHandled |
P115937
|
FINISHED |
| Object | limited or none |
—
|
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: limited or none | Statement: [Terminal 4 (Ninoy Aquino International Airport), internationalFlightsHandled, limited or none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalFlightsHandled Context triple: [Terminal 4 (Ninoy Aquino International Airport), internationalFlightsHandled, limited or none]
-
A.
hasInternationalFlights
Indicates that an airport or airline operates flights connecting to destinations in other countries.
-
B.
hasInternationalDestinations
Indicates that an entity offers, includes, or is connected to destinations located in foreign countries.
-
C.
hasInternationalTerminal
Indicates that a transportation facility includes a terminal specifically designated for handling international arrivals and departures.
-
D.
handlesInternationalTrafficAt
chosen
Indicates that an entity manages or processes international traffic at a specified location or facility.
-
E.
quantityFlown
Indicates the amount or volume that has been transported by flying from one place to another.
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4:11 p.m.