Triple
T9295322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine territorial waters |
E223623
|
entity |
| Predicate | seaAreaIncludes |
P87476
|
FINISHED |
| Object | parts of 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: parts of the South China Sea | Statement: [Philippine territorial waters, seaAreaIncludes, parts of the South China Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaAreaIncludes Context triple: [Philippine territorial waters, seaAreaIncludes, parts of the South China Sea]
-
A.
seaAreaCode
Indicates the specific coded maritime or sea area associated with or relevant to an entity.
-
B.
appliesToSeaArea
Indicates that something (such as a rule, restriction, or designation) is relevant or valid within a specified sea area.
-
C.
seaAreaDesignation
Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
-
D.
seaAreaA1Definition
Indicates the defined spatial extent or boundary description of a specific sea area labeled A1.
-
E.
isInCountryWater
Indicates that one entity (typically a body of water or water area) is located within or belongs to the territorial waters of a specified country.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089b44f88190a9bf76111355881d |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.