Triple
T37330473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poecilia latipinna |
E926730
|
entity |
| Predicate | waterTypeTolerance |
P851
|
FINISHED |
| Object | freshwater |
—
|
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: freshwater | Statement: [Poecilia latipinna, waterTypeTolerance, freshwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTypeTolerance Context triple: [Poecilia latipinna, waterTypeTolerance, freshwater]
-
A.
waterType
chosen
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
waterTolerance
Indicates the degree to which an entity can withstand or function effectively in the presence of water.
-
C.
drinkingWaterStandard
Indicates that something meets an established quality or safety standard for drinking water.
-
D.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
E.
waterServiceType
Indicates the specific kind or category of water service provided or associated with an entity.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4:16 p.m.