Triple
T5204530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to the Water |
E117476
|
entity |
| Predicate | featuresAnimalGroup |
P42281
|
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: [Return to the Water, featuresAnimalGroup, whales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAnimalGroup Context triple: [Return to the Water, featuresAnimalGroup, whales]
-
A.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
B.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
-
C.
animalTypeFeatured
chosen
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
D.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
E.
taxonGroup
Indicates a classification relationship where one taxon is grouped within or associated with a broader taxonomic group.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.