Triple
T31485721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippines–United States border |
E803269
|
entity |
| Predicate | governingCountry1Capital |
P185326
|
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: [Philippines–United States border, governingCountry1Capital, Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountry1Capital Context triple: [Philippines–United States border, governingCountry1Capital, Manila]
-
A.
governingCountryCapitalLocatedIn
Indicates that the capital city of a governing country is geographically located within a specified territory or region.
-
B.
associatedCountryCapital
Indicates that a country is related to, or paired with, its capital city.
-
C.
homeCountryCapital
Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
-
D.
hasCountryOfCapital
Indicates that a capital city is associated with or belongs to a specific country.
-
E.
modernCountryOfCapital
chosen
Indicates that a given city serves as the capital of a specified modern-day country.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
Created at: April 30, 2026, 9:35 p.m.