Triple
T5440451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The High Seas |
E122118
|
entity |
| Predicate | featuresEcosystem |
P64079
|
FINISHED |
| Object | open ocean |
—
|
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: open ocean | Statement: [The High Seas, featuresEcosystem, open ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEcosystem Context triple: [The High Seas, featuresEcosystem, open ocean]
-
A.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
B.
targetsEcosystem
Indicates that an action, product, or policy is directed toward, affects, or is specifically intended for a particular ecosystem.
-
C.
featuresService
Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
-
D.
operatesInEcosystem
Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
-
E.
featuresOrchestrationBy
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.