Triple
T13711362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Luis Dam |
E328777
|
entity |
| Predicate | engineering |
P77595
|
FINISHED |
| Object | earth and rockfill construction |
—
|
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: earth and rockfill construction | Statement: [San Luis Dam, engineering, earth and rockfill construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineering Context triple: [San Luis Dam, engineering, earth and rockfill construction]
-
A.
engineeringEmphasis
Indicates that something places a primary focus or specialization on engineering principles, methods, or activities.
-
B.
typeOfEngineering
chosen
Indicates that one entity is a specific branch, category, or kind of engineering to which the other entity belongs.
-
C.
engineeringStandard
Indicates that something conforms to, is defined by, or is governed by a specified engineering standard or set of technical norms.
-
D.
engine
Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
-
E.
architecture
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.