Triple
T38006878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panganiban Reef |
E948257
|
entity |
| Predicate | legalFinding2016PCAAward |
P201768
|
FINISHED |
| Object | generatesNoExclusiveEconomicZoneOrTerritorialSea |
—
|
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: generatesNoExclusiveEconomicZoneOrTerritorialSea | Statement: [Panganiban Reef, legalFinding2016PCAAward, generatesNoExclusiveEconomicZoneOrTerritorialSea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFinding2016PCAAward Context triple: [Panganiban Reef, legalFinding2016PCAAward, generatesNoExclusiveEconomicZoneOrTerritorialSea]
-
A.
legalStatusAccordingTo2016PCAAward
chosen
Indicates the legal status of an entity as determined by the 2016 Permanent Court of Arbitration award.
-
B.
PCAAwardYear
Indicates the year in which a particular PCAA (or similarly named) award was given or recognized.
-
C.
PCAAwardDate
Indicates the date on which a particular PCAA (or related award) was formally granted or conferred.
-
D.
permanentAwardYear
Indicates the specific year in which a permanent award or honor was formally granted or established.
-
E.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a002103c93081908398fa5726f5fa6e |
completed | May 10, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_6a001fcb9fb48190a27d8f2ca983fbe6 |
completed | May 10, 2026, 6:03 a.m. |
Created at: May 3, 2026, 4:20 p.m.