Triple
T4529232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panay Island |
E106252
|
entity |
| Predicate | countryCapitalDistanceApproxKm |
P10889
|
FINISHED |
| Object | ~450 km from Manila |
—
|
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: ~450 km from Manila | Statement: [Panay Island, countryCapitalDistanceApproxKm, ~450 km from Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalDistanceApproxKm Context triple: [Panay Island, countryCapitalDistanceApproxKm, ~450 km from Manila]
-
A.
distanceFromCapital
chosen
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
B.
countryCapitalNearby
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
C.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
-
D.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
E.
countryCapitalDistrict
Indicates that a specified district serves as the capital district (administrative capital area) of a given 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd5779593081908593537b9239e01b |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.