Triple
T11145304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 4 (Ninoy Aquino International Airport) |
E263653
|
entity |
| Predicate | hasFacilityLevel |
P98032
|
FINISHED |
| Object | basic facilities |
—
|
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: basic facilities | Statement: [Terminal 4 (Ninoy Aquino International Airport), hasFacilityLevel, basic facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacilityLevel Context triple: [Terminal 4 (Ninoy Aquino International Airport), hasFacilityLevel, basic facilities]
-
A.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
B.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
C.
appliesToFacility
Indicates that something (such as a rule, policy, condition, or attribute) is relevant to, valid for, or in effect at a particular facility.
-
D.
hasFacilityRange
Indicates that an entity provides or is associated with a facility that covers a specified range (such as capacity, distance, or operational extent).
-
E.
hasCompanyFacility
Indicates that a company possesses, operates, or is responsible for a particular facility.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8634d5481909b114d30a542ea3f |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.