Triple
T13558334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sansha City |
E323837
|
entity |
| Predicate | maritimeClaimBasis |
P110351
|
FINISHED |
| Object | Chinese claims in the South China Sea |
—
|
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: Chinese claims in the South China Sea | Statement: [Sansha City, maritimeClaimBasis, Chinese claims in the South China Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimeClaimBasis Context triple: [Sansha City, maritimeClaimBasis, Chinese claims in the South China Sea]
-
A.
maritimeClaimType
Indicates the specific nature or category of a party’s asserted rights or jurisdiction over a maritime area.
-
B.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
-
C.
shareMaritimeAgreements
Indicates that two or more entities are parties to the same maritime-related agreements, such as treaties, conventions, or cooperative arrangements governing activities at sea.
-
D.
maritimeHazard
Indicates a condition, object, or situation at sea that poses a risk to vessels, navigation, or maritime operations.
-
E.
maritimeVariant
Indicates a version or form of something that is specifically adapted for or used in maritime (sea-related) contexts.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:47 p.m.