Triple
T12848196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo, Guimaras |
E307237
|
entity |
| Predicate | hasIslandProvinceStatus |
P107205
|
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: [San Lorenzo, Guimaras, hasIslandProvinceStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslandProvinceStatus Context triple: [San Lorenzo, Guimaras, hasIslandProvinceStatus, true]
-
A.
hasIslandProvince
Indicates that a region or country possesses an administrative province that is located on an island.
-
B.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
C.
hasProvinceStatus
Indicates that an entity holds the administrative or political status of a province within a larger territorial or governmental system.
-
D.
isIslandArea
Indicates that a given geographic area is classified as an island.
-
E.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:36 p.m.