Triple
T30034476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine–United States relations |
E763115
|
entity |
| Predicate | PhilippinesPermanentMissionToUnitedNationsLocation |
P168379
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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: New York City | Statement: [Philippine–United States relations, PhilippinesPermanentMissionToUnitedNationsLocation, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PhilippinesPermanentMissionToUnitedNationsLocation Context triple: [Philippine–United States relations, PhilippinesPermanentMissionToUnitedNationsLocation, New York City]
-
A.
PhilippinesEmbassyLocationInUnitedStates
Indicates the location of a Philippine embassy within the territory of the United States.
-
B.
USEmbassyLocation
Indicates that a specified location is the site where the United States embassy for a particular country is situated.
-
C.
capitalOfUSMissionLocation
Indicates that a location serves as the capital city where a particular U.S. mission (such as an embassy or diplomatic post) is situated.
-
D.
haveEmbassyOfIndonesiaIn
Indicates that an entity hosts or contains an embassy representing Indonesia in a specified location.
-
E.
rankByAreaInPhilippines
Indicates the relative ordering of entities based on their area size specifically within the Philippines.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679d37ea4819096dd4a2352798748 |
completed | May 2, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:50 p.m.