Triple
T10611210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Negros Natural Park |
E276011
|
entity |
| Predicate | locatedInPartOfIsland |
P14968
|
FINISHED |
| Object | northern Negros Island |
—
|
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: northern Negros Island | Statement: [Northern Negros Natural Park, locatedInPartOfIsland, northern Negros Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPartOfIsland Context triple: [Northern Negros Natural Park, locatedInPartOfIsland, northern Negros Island]
-
A.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
B.
meetsInIsland
Indicates that two or more entities meet with each other at a location that is an island.
-
C.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
D.
isInIsland
chosen
Indicates that one entity is located within the geographic boundaries of an island.
-
E.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.