Triple
T19216952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segitiga Terumbu Karang |
E480509
|
entity |
| Predicate | memilikiKomponenEkosistem |
P19967
|
FINISHED |
| Object | terumbu karang |
—
|
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: terumbu karang | Statement: [Segitiga Terumbu Karang, memilikiKomponenEkosistem, terumbu karang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memilikiKomponenEkosistem Context triple: [Segitiga Terumbu Karang, memilikiKomponenEkosistem, terumbu karang]
-
A.
partOfEcosystem
chosen
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
B.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
C.
hasEcosystemService
Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
-
D.
speciesComposition
Indicates the makeup and relative proportions of different species present within a defined group, sample, or environment.
-
E.
ecosystemIntegrationWith
Indicates how one entity is incorporated into, interacts with, or functions as part of another entity’s broader ecosystem of products, services, or systems.
- 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.