Triple
T33689664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Dauin |
E863141
|
entity |
| Predicate | divingReputation |
P177197
|
FINISHED |
| Object | premier diving destination in the Philippines |
—
|
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: premier diving destination in the Philippines | Statement: [Municipality of Dauin, divingReputation, premier diving destination in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divingReputation Context triple: [Municipality of Dauin, divingReputation, premier diving destination in the Philippines]
-
A.
divingVenue
Indicates a location or facility where diving activities or events take place.
-
B.
divingAccess
Indicates that one entity has permission or ability to engage in diving activities at or within another entity (such as a location, facility, or body of water).
-
C.
hasDiveDifficulty
Indicates that an action or event of diving is associated with a specified level of difficulty.
-
D.
divingBehavior
Indicates the characteristic way an entity performs or exhibits diving actions, such as how, when, or how often it dives.
-
E.
hasDivingDepth
Indicates that an entity is associated with a specific depth to which it can or does dive.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.