Triple
T19216948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segitiga Terumbu Karang |
E480509
|
entity |
| Predicate | memilikiKarakteristik |
P128001
|
FINISHED |
| Object | kepadatan spesies karang tertinggi di dunia |
—
|
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: kepadatan spesies karang tertinggi di dunia | Statement: [Segitiga Terumbu Karang, memilikiKarakteristik, kepadatan spesies karang tertinggi di dunia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memilikiKarakteristik Context triple: [Segitiga Terumbu Karang, memilikiKarakteristik, kepadatan spesies karang tertinggi di dunia]
-
A.
karakter
Indicates that one entity is a character (e.g., a role or persona) associated with or embodied by another entity.
-
B.
entityCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
subjectHasCharacteristic
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
-
D.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
hasHumanCharacteristic
Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
- 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.