Triple
T31485706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippines–United States border |
E803269
|
entity |
| Predicate | separatesTerritorialWatersOf |
P172561
|
FINISHED |
| Object | Philippines |
—
|
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: Philippines | Statement: [Philippines–United States border, separatesTerritorialWatersOf, Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatesTerritorialWatersOf Context triple: [Philippines–United States border, separatesTerritorialWatersOf, Philippines]
-
A.
claimedAsTerritorialSeaBy
Indicates that a body of water is asserted by a state or authority to be part of its territorial sea.
-
B.
appliesToTerritorialWatersOf
Indicates that something (such as a rule, status, or condition) is applicable within the territorial waters of a specified entity.
-
C.
isSeparatedFromMainlandBy
Indicates that one land area is divided from the mainland by a specific intervening body or feature, such as water or terrain.
-
D.
seaSeparatedFrom
Indicates that one geographic region or landmass is separated from another by a sea lying between them.
-
E.
maximumBreadthOfTerritorialSea
Indicates the greatest legally defined width of a state's territorial sea measured from its baseline.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 9:35 p.m.