Triple
T30034475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine–United States relations |
E763115
|
entity |
| Predicate | UnitedStatesEmbassyLocationInPhilippines |
P98063
|
FINISHED |
| Object | Manila |
—
|
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: Manila | Statement: [Philippine–United States relations, UnitedStatesEmbassyLocationInPhilippines, Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnitedStatesEmbassyLocationInPhilippines Context triple: [Philippine–United States relations, UnitedStatesEmbassyLocationInPhilippines, Manila]
-
A.
embassyOfUnitedStatesLocation
Indicates the geographic location where a particular United States embassy is situated.
-
B.
U.S.EmbassyLocation
Indicates the location where a U.S. embassy is situated or hosted.
-
C.
USEmbassyLocation
chosen
Indicates that a specified location is the site where the United States embassy for a particular country is situated.
-
D.
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.
-
E.
AfghanEmbassyLocationInUnitedStates
Indicates the location of an Afghan embassy within the territory of the United States.
- 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_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_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:50 p.m.