Triple
T21996509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | フィリピン・ルソン島 |
E543217
|
entity |
| Predicate | 交通の中心 |
P81087
|
FINISHED |
| Object | ニノイ・アキノ国際空港所在地 |
—
|
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: ニノイ・アキノ国際空港所在地 | Statement: [フィリピン・ルソン島, 交通の中心, ニノイ・アキノ国際空港所在地]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 交通の中心 Context triple: [フィリピン・ルソン島, 交通の中心, ニノイ・アキノ国際空港所在地]
-
A.
עיר מרכזית קשורה
Indicates a relationship where one city is connected or associated with another city that serves as a central or main city in some defined context.
-
B.
isTransportCenterOf
chosen
Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
-
C.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
D.
hasCentralStreet
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
-
E.
cityCentreAccess
Indicates whether an entity has access to, or is reachable within, the central area of a city.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:19 p.m.