Triple
T19217073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona Ekonomi Eksklusif Indonesia |
E480512
|
entity |
| Predicate | negaraLainMemiliki |
P135016
|
FINISHED |
| Object | kebebasan pelayaran |
—
|
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: kebebasan pelayaran | Statement: [Zona Ekonomi Eksklusif Indonesia, negaraLainMemiliki, kebebasan pelayaran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negaraLainMemiliki Context triple: [Zona Ekonomi Eksklusif Indonesia, negaraLainMemiliki, kebebasan pelayaran]
-
A.
betweenCountry
Indicates a relationship or interaction that involves or occurs among two or more countries.
-
B.
overseasCountry
Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
-
C.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
D.
relatedCountry
Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
-
E.
countryOnOtherSide
Indicates that one location is situated across a boundary or dividing feature (such as a border, river, or sea) from another country, on the opposite side.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:23 p.m.