Triple
T22313661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Santa Cruz Island |
E551586
|
entity |
| Predicate | travelTimeFromZamboangaCity |
P147707
|
FINISHED |
| Object | about 15 to 20 minutes by boat |
—
|
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: about 15 to 20 minutes by boat | Statement: [Great Santa Cruz Island, travelTimeFromZamboangaCity, about 15 to 20 minutes by boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeFromZamboangaCity Context triple: [Great Santa Cruz Island, travelTimeFromZamboangaCity, about 15 to 20 minutes by boat]
-
A.
distanceToZamboangaCityByRoad_km
Indicates the road travel distance, measured in kilometers, from an entity’s location to Zamboanga City.
-
B.
approxTravelTimeFromCebuCity
Indicates the estimated amount of time it typically takes to travel from Cebu City to another location.
-
C.
approximateTravelTimeFromPalompon
Indicates the estimated duration it takes to travel from Palompon to another specified location.
-
D.
distanceFromDavaoCity
Indicates the measured spatial distance between a given location and Davao City.
-
E.
distanceToDavaoCity
Indicates the measured distance between a given entity’s location and Davao City.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15750f76c81909d6f788928f503f1 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.