Triple
T28168112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Philippines |
E715381
|
entity |
| Predicate | includesIslandProvinces |
P57880
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Western Philippines, includesIslandProvinces, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesIslandProvinces Context triple: [Western Philippines, includesIslandProvinces, true]
-
A.
hasIslandProvince
chosen
Indicates that a region or country possesses an administrative province that is located on an island.
-
B.
isPartOfIslandProvince
Indicates that one entity is a constituent part or region within an island province.
-
C.
hasIslandProvinceStatus
Indicates that an entity holds the administrative or political status of being classified as an island province.
-
D.
hasIslandSubregion
Indicates that a region includes an island as one of its subordinate geographic subregions.
-
E.
hasStateOrIsland
Indicates that one entity possesses, includes, or is associated with a particular state or island as part of its composition, location, or jurisdiction.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 27, 2026, 10:11 p.m.