Triple
T35435132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claveria, Cagayan |
E1024181
|
entity |
| Predicate | hasFishingGrounds |
P199767
|
FINISHED |
| Object | Luzon Strait coastal waters |
—
|
NE NERFINISHED |
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: Luzon Strait coastal waters | Statement: [Claveria, Cagayan, hasFishingGrounds, Luzon Strait coastal waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFishingGrounds Context triple: [Claveria, Cagayan, hasFishingGrounds, Luzon Strait coastal waters]
-
A.
hasFishingGroundsIn
chosen
Indicates that an entity possesses or utilizes fishing grounds located within a specified area or region.
-
B.
hasFishingSpecies
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
C.
isFishingArea
Indicates that a location or region is designated or used as an area where fishing activities take place.
-
D.
hasShoreFishing
Indicates that a location or body of water provides opportunities or facilities for fishing from the shore.
-
E.
hasFishingBoats
Indicates that one entity possesses, operates, or is associated with one or more fishing boats.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: May 3, 2026, 4:04 p.m.