Triple
T27917072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcedo |
E706102
|
entity |
| Predicate | preferredWaterType |
P851
|
FINISHED |
| Object | clear slow-moving 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: clear slow-moving freshwater | Statement: [Alcedo, preferredWaterType, clear slow-moving freshwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preferredWaterType Context triple: [Alcedo, preferredWaterType, clear slow-moving freshwater]
-
A.
waterType
chosen
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
prefersWater
Indicates a relationship where an entity favors or chooses water over other available options.
-
C.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
D.
waterServiceType
Indicates the specific kind or category of water service provided or associated with an entity.
-
E.
primaryFluidType
Indicates the main kind of fluid associated with, used by, or flowing through 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 6:54 p.m.