Triple
T30109104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Irrigation District |
E765213
|
entity |
| Predicate | primaryCropAreaServed |
P150179
|
FINISHED |
| Object | Imperial Valley agricultural fields |
—
|
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: Imperial Valley agricultural fields | Statement: [Imperial Irrigation District, primaryCropAreaServed, Imperial Valley agricultural fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCropAreaServed Context triple: [Imperial Irrigation District, primaryCropAreaServed, Imperial Valley agricultural fields]
-
A.
primaryCropRegion
chosen
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
B.
strategicAreaServed
Indicates that an entity provides services or exerts influence within a particular area considered strategically important.
-
C.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
D.
primarySectorCoverage
Indicates that one entity serves as the main or dominant sector in which another entity operates, focuses, or provides coverage.
-
E.
servesRuralArea
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01c51e2d088190b9dcce5b6de1cb9b |
completed | May 11, 2026, 12:01 p.m. |
| PD | Predicate disambiguation | batch_6a01c4c715a48190b7435de8a9d86fd4 |
completed | May 11, 2026, noon |
Created at: April 29, 2026, 7:10 p.m.