Triple
T6094740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby Dam |
E135848
|
entity |
| Predicate | NRHPSignificance |
P15465
|
FINISHED |
| Object | early federal reclamation project |
—
|
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: early federal reclamation project | Statement: [Derby Dam, NRHPSignificance, early federal reclamation project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NRHPSignificance Context triple: [Derby Dam, NRHPSignificance, early federal reclamation project]
-
A.
rankSignificance
Indicates how important or influential one entity is relative to others within a specified context or ordering.
-
B.
typeOfSignificance
chosen
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
-
C.
reasonForSignificance
Indicates that one entity explains or justifies why another entity is important, notable, or significant.
-
D.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
E.
hasNaturalSignificance
Indicates that something possesses inherent meaning, importance, or value derived from its nature or from natural properties, rather than from convention or assignment.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.