Triple
T34559044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice Creek Watershed District |
E887286
|
entity |
| Predicate | typeOfWatershed |
P49162
|
FINISHED |
| Object | mixed urban and suburban watershed |
—
|
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: mixed urban and suburban watershed | Statement: [Rice Creek Watershed District, typeOfWatershed, mixed urban and suburban watershed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWatershed Context triple: [Rice Creek Watershed District, typeOfWatershed, mixed urban and suburban watershed]
-
A.
watershedType
chosen
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
B.
partOfWatershedOf
Indicates that one water-related entity (such as a stream, lake, or area) lies within and contributes to the drainage area of another specified watershed.
-
C.
hasWatercourseType
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
-
D.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
-
E.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0143a4ab3c8190a240b0facfe130a9 |
completed | May 11, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_6a01426b2d4481908654bfa4a02c457d |
completed | May 11, 2026, 2:43 a.m. |
Created at: May 1, 2026, 2:02 a.m.