Triple
T5551726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suisun Slough |
E145541
|
entity |
| Predicate | supportsHabitatFor |
P40301
|
FINISHED |
| Object | waterfowl |
—
|
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: waterfowl | Statement: [Suisun Slough, supportsHabitatFor, waterfowl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsHabitatFor Context triple: [Suisun Slough, supportsHabitatFor, waterfowl]
-
A.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
D.
supportsSpeciesGroup
chosen
Indicates that one entity provides suitable conditions or resources that enable the survival or persistence of a particular group of species.
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.