Triple
T28033119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canary Spring |
E708324
|
entity |
| Predicate | hasBiologicalCauseOfColor |
P23298
|
FINISHED |
| Object | thermophilic bacteria |
—
|
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: thermophilic bacteria | Statement: [Canary Spring, hasBiologicalCauseOfColor, thermophilic bacteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiologicalCauseOfColor Context triple: [Canary Spring, hasBiologicalCauseOfColor, thermophilic bacteria]
-
A.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
B.
geneticColorBasis
Indicates that one entity serves as the genetic basis or determinant for the color characteristics observed in another entity.
-
C.
hasBiologicalBasisIn
Indicates that one entity is grounded in, caused by, or dependent on the biological properties, processes, or mechanisms of another entity.
-
D.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
E.
colorationTrait
Indicates a relationship where an entity possesses or is characterized by a specific coloration-related trait.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 8:18 p.m.