Triple
T29554224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia and Indonesia |
E749860
|
entity |
| Predicate | haveHadDisputesOver |
P3572
|
FINISHED |
| Object | Timor Gap maritime boundary |
—
|
NE NERFINISHED |
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: Timor Gap maritime boundary | Statement: [Australia and Indonesia, haveHadDisputesOver, Timor Gap maritime boundary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveHadDisputesOver Context triple: [Australia and Indonesia, haveHadDisputesOver, Timor Gap maritime boundary]
-
A.
hasDisputeHistory
chosen
Indicates that there has been at least one prior dispute or conflict involving the related entities.
-
B.
hasDisputeWith
Indicates that there is a conflict, disagreement, or contested issue between two entities.
-
C.
hasDisputedPeriod
Indicates that there exists a time span associated with the subject whose occurrence, duration, or validity is contested or not mutually agreed upon.
-
D.
hasDisputedStatusWith
Indicates that there is a contested or unresolved status, claim, or standing between the related entities.
-
E.
hasDisputedStatus
Indicates that the status or classification of something is contested, uncertain, or not universally agreed upon.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf946f881909d177507a28a657b |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:15 p.m.