Triple
T5440454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The High Seas |
E122118
|
entity |
| Predicate | featuresOrganism |
P7733
|
FINISHED |
| Object | whales |
—
|
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: whales | Statement: [The High Seas, featuresOrganism, whales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOrganism Context triple: [The High Seas, featuresOrganism, whales]
-
A.
featuresSpecies
chosen
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
B.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
C.
biologicalCharacteristic
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
D.
genomeCharacteristic
Indicates that an entity has a specific property, feature, or attribute related to its genome.
-
E.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
- 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_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. |
Created at: March 20, 2026, 2:07 p.m.