Triple
T31632928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanichthys |
E807217
|
entity |
| Predicate | typicalWaterParameter |
P27141
|
FINISHED |
| Object | cool water temperatures |
—
|
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: cool water temperatures | Statement: [Tanichthys, typicalWaterParameter, cool water temperatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWaterParameter Context triple: [Tanichthys, typicalWaterParameter, cool water temperatures]
-
A.
waterQualityIndicator
Indicates that something serves as a measure or signal of the condition or purity of water.
-
B.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
C.
waterPH
Indicates the acidity or alkalinity level (pH value) of a given body or sample of water.
-
D.
waterCondition
chosen
Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
-
E.
drinkingWaterStandard
Indicates that something meets an established quality or safety standard for drinking water.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:46 p.m.