Triple
T24752696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakiputan Strait |
E619190
|
entity |
| Predicate | hasIslandOnShore |
P970
|
FINISHED |
| Object | Samal Island |
—
|
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: Samal Island | Statement: [Pakiputan Strait, hasIslandOnShore, Samal Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslandOnShore Context triple: [Pakiputan Strait, hasIslandOnShore, Samal Island]
-
A.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
B.
hasIsland
chosen
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
C.
isOnSideOfIsland
Indicates that one entity is located on a particular side or shore of an island relative to some reference or division.
-
D.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
-
E.
primaryIslandOnShore
Indicates that one island is the main or most significant island located along a particular shore or coastline.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:25 a.m.