Triple
T24044744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Basin states of the Colorado River Compact |
E595485
|
entity |
| Predicate | hasKeyMeasurementPoint |
P70398
|
FINISHED |
| Object | Lee Ferry, Arizona |
—
|
NE NERFINISHED |
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: Lee Ferry, Arizona | Statement: [Upper Basin states of the Colorado River Compact, hasKeyMeasurementPoint, Lee Ferry, Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyMeasurementPoint Context triple: [Upper Basin states of the Colorado River Compact, hasKeyMeasurementPoint, Lee Ferry, Arizona]
-
A.
hasKeyMeasure
Indicates that one entity is the primary or defining metric, indicator, or quantitative measure used to assess or evaluate another entity.
-
B.
hasKeyPoint
chosen
Indicates that one entity includes, contains, or is associated with a specific key point or main idea represented by another entity.
-
C.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
D.
hasMeasurementRole
Indicates that an entity participates in a measurement activity in a specific functional role (e.g., as the measurer, instrument, or measured subject).
-
E.
hasMeasuredParameter
Indicates that an entity has a specific parameter that has been quantitatively measured or recorded.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8dc8f708190ac6257e65c37bde7 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:11 p.m.