Triple
T26267390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Mountain Dam |
E657021
|
entity |
| Predicate | hasAssociatedLake |
P127227
|
FINISHED |
| Object | Smith Mountain Lake |
—
|
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: Smith Mountain Lake | Statement: [Smith Mountain Dam, hasAssociatedLake, Smith Mountain Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedLake Context triple: [Smith Mountain Dam, hasAssociatedLake, Smith Mountain Lake]
-
A.
hasLakeRegion
chosen
Indicates that a place or geographic area includes or is associated with a specific lake region.
-
B.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
C.
hasLakeGroup
Indicates that an entity possesses, contains, or is associated with a specific group or collection of lakes.
-
D.
hasLakeName
Indicates that an entity (such as a lake or related feature) bears or is associated with a specific lake name.
-
E.
hasSourceLake
Indicates that something originates from, or has its source in, a particular lake.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 9:12 p.m.