Triple
T33389803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hozukius |
E855013
|
entity |
| Predicate | thermalPreference |
P51066
|
FINISHED |
| Object | cold waters |
—
|
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: cold waters | Statement: [Hozukius, thermalPreference, cold waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalPreference Context triple: [Hozukius, thermalPreference, cold waters]
-
A.
preferredClimate
chosen
Indicates the type of climate that an entity favors or is most suited to.
-
B.
temper
Indicates moderating, softening, or counterbalancing the intensity, effect, or quality of something through the influence of something else.
-
C.
preferredHumidity
Indicates the level or range of humidity that is most suitable or favored by a given entity.
-
D.
thermalControl
Indicates a relationship where one entity regulates, adjusts, or maintains the temperature or thermal conditions of another entity or environment.
-
E.
usesThermals
Indicates that one entity relies on rising warm air currents (thermals) as a means to gain lift, move, or maintain altitude.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.