Triple
T8893957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percent for Art program |
E211754
|
entity |
| Predicate | typicalPercentage |
P12843
|
FINISHED |
| Object | up to one percent of eligible construction costs |
—
|
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: up to one percent of eligible construction costs | Statement: [Percent for Art program, typicalPercentage, up to one percent of eligible construction costs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPercentage Context triple: [Percent for Art program, typicalPercentage, up to one percent of eligible construction costs]
-
A.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
B.
typicalMeasure
Indicates the standard or characteristic quantitative measure typically associated with something, such as its usual size, weight, duration, or other magnitude.
-
C.
typicalDegree
chosen
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
D.
typicalPerformance
Indicates the usual or characteristic level at which an entity performs under normal conditions.
-
E.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bc92c881908aab536af9b35178 |
completed | April 1, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.