Triple
T35089273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Creek Lake |
E1012667
|
entity |
| Predicate | hasDamName |
P69550
|
FINISHED |
| Object | William L. Jess Dam |
—
|
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: William L. Jess Dam | Statement: [Lost Creek Lake, hasDamName, William L. Jess Dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDamName Context triple: [Lost Creek Lake, hasDamName, William L. Jess Dam]
-
A.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
B.
hasDamFunction
Indicates that something serves the role or performs the function of a dam, such as impounding or regulating the flow of water.
-
C.
hasDamCount
Indicates the number of dams associated with or present on a given entity (such as a river, region, or site).
-
D.
damName
chosen
Indicates that an entity is identified by or associated with the specific name of a dam.
-
E.
originalDamName
Indicates the name originally given to a dam, as first designated or recorded when it was created or constructed.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.