Triple
T37132626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu–Caticlan |
E919564
|
entity |
| Predicate | locatedInWaterBodyProximity |
—
|
GENERATED |
| Object | Sibuyan Sea |
—
|
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: locatedInWaterBodyProximity Context triple: [Cebu–Caticlan, locatedInWaterBodyProximity, Sibuyan Sea]
-
A.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
B.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
C.
locatedInBodyOfWater
chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
-
D.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
E.
involvesBodyOfWater
Indicates that the relationship or event includes, affects, or takes place in connection with a body of water such as a sea, lake, river, or ocean.
- F. None of above.
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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.