Triple
T9531997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinca tinca |
E229917
|
entity |
| Predicate | waterTemperaturePreference |
P72074
|
FINISHED |
| Object | warm |
—
|
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 | Statement: [Tinca tinca, waterTemperaturePreference, warm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTemperaturePreference Context triple: [Tinca tinca, waterTemperaturePreference, warm]
-
A.
waterTemperatureType
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
livesInWaterTemperature
chosen
Indicates that an entity inhabits or exists in water characterized by a specific temperature or temperature range.
-
C.
waterTemperatureForSpawning
Indicates the specific water temperature conditions required or suitable for an organism to begin or successfully carry out spawning.
-
D.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
E.
preferredClimate
Indicates the type of climate that an entity favors or is most suited to.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b408648190a04127c1d47fe7d2 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.