Triple
T32892343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keechelus Lake |
E841367
|
entity |
| Predicate | primaryIrrigationServiceArea |
P46644
|
FINISHED |
| Object | Yakima Valley |
E108618
|
NE 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: Yakima Valley | Statement: [Keechelus Lake, primaryIrrigationServiceArea, Yakima Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIrrigationServiceArea Context triple: [Keechelus Lake, primaryIrrigationServiceArea, Yakima Valley]
-
A.
hasPrimaryServiceArea
chosen
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
B.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
C.
primarySurveyArea
Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
-
D.
servesRuralArea
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
-
E.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
- F. None of above.
Provenance (4 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c68a8160819084db7f680e660b54 |
completed | June 19, 2026, 4:33 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:18 a.m.