Triple
T19217078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona Ekonomi Eksklusif Indonesia |
E480512
|
entity |
| Predicate | berbedaDari |
P61682
|
FINISHED |
| Object | laut teritorial |
—
|
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: laut teritorial | Statement: [Zona Ekonomi Eksklusif Indonesia, berbedaDari, laut teritorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: berbedaDari Context triple: [Zona Ekonomi Eksklusif Indonesia, berbedaDari, laut teritorial]
-
A.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
B.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
-
C.
differential
Indicates a relationship where one quantity or state is defined as the infinitesimal change or difference relative to another variable or function.
-
D.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
E.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
- 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.