Triple
T15643204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiping Island |
E376114
|
entity |
| Predicate | hasLegalStatusDispute |
P23974
|
FINISHED |
| Object | classification as island or rock under UNCLOS |
—
|
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: classification as island or rock under UNCLOS | Statement: [Taiping Island, hasLegalStatusDispute, classification as island or rock under UNCLOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalStatusDispute Context triple: [Taiping Island, hasLegalStatusDispute, classification as island or rock under UNCLOS]
-
A.
hasDisputedStatus
chosen
Indicates that the status or classification of something is contested, uncertain, or not universally agreed upon.
-
B.
hasDisputedStatusWith
Indicates that there is a contested or unresolved status, claim, or standing between the related entities.
-
C.
hasLegalIssue
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
D.
hasLegalProceeding
Indicates that there is a formal legal action, case, or proceeding involving the related entities.
-
E.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.