Triple
T35130323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine–Spanish relations |
E1014417
|
entity |
| Predicate | hasConsulateOfSpainIn |
—
|
GENERATED |
| Object | Cebu City |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsulateOfSpainIn Context triple: [Philippine–Spanish relations, hasConsulateOfSpainIn, Cebu City]
-
A.
hasConsulateOfPortugalIn
Indicates that a consulate representing Portugal is located within a specified place.
-
B.
hasConsulateOfUnitedStatesIn
Indicates that a consulate of the United States is located in the specified place.
-
C.
haveConsulates
Indicates that one country maintains consular offices or consulates within the territory of another country.
-
D.
haveConsulatesOfAustraliaIn
Indicates that one location hosts consular offices representing Australia within its territory.
-
E.
hasConsulateOfCroatiaIn
Indicates that a location hosts an official consulate representing Croatia.
- F. None of above. chosen
Provenance (1 batch)
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.