Triple
T19216932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segitiga Terumbu Karang |
E480509
|
entity |
| Predicate | mencakupWilayah |
P19200
|
FINISHED |
| Object | sebagian besar Asia Tenggara maritim |
—
|
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: sebagian besar Asia Tenggara maritim | Statement: [Segitiga Terumbu Karang, mencakupWilayah, sebagian besar Asia Tenggara maritim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mencakupWilayah Context triple: [Segitiga Terumbu Karang, mencakupWilayah, sebagian besar Asia Tenggara maritim]
-
A.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
B.
regionCoverage
chosen
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
C.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
includedRegions
Indicates that certain regions are contained within, or form part of, a larger specified region or set of regions.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3aff9c8190974363683b8246f5 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:23 p.m.