Triple
T18441986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Day River |
E450550
|
entity |
| Predicate | hasMajorDams |
P131610
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [John Day River, hasMajorDams, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorDams Context triple: [John Day River, hasMajorDams, false]
-
A.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
B.
hasMajorReservoir
Indicates that an entity possesses or is associated with a primary or significant reservoir (such as a large storage or accumulation of a resource).
-
C.
hasMajorHydroSystem
Indicates that an entity possesses or is associated with a primary or significant hydrological system, such as a major river, watershed, or water network.
-
D.
hasLockAndDamSystem
Indicates that one entity possesses or is equipped with a system of locks and dams used to control water levels and facilitate navigation.
-
E.
isOneOfLargestDamsIn
Indicates that a dam ranks among the largest dams within a specified geographic region or jurisdiction.
- F. None of above. chosen
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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c11b1288190b9ed4497751197d1 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:30 a.m.