Triple
T18677936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | redear sunfish |
E456650
|
entity |
| Predicate | prefersHabitat |
P76824
|
FINISHED |
| Object | warm water |
—
|
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: warm water | Statement: [redear sunfish, prefersHabitat, warm water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefersHabitat Context triple: [redear sunfish, prefersHabitat, warm water]
-
A.
preferredHabitat
chosen
Indicates the type of environment or habitat in which an entity most commonly lives or thrives.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
preferredClimate
Indicates the type of climate that an entity favors or is most suited to.
-
D.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
E.
prefersForestType
Indicates that an entity has a stronger liking or selection tendency for a particular type of forest over others.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b66680819082a268f1bf857db5 |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.