Triple
T36930430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FREE: Fernando Romero Enterprise monograph |
E913463
|
entity |
| Predicate | documentsDesignApproach |
P137143
|
FINISHED |
| Object | innovative use of form |
—
|
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: innovative use of form | Statement: [FREE: Fernando Romero Enterprise monograph, documentsDesignApproach, innovative use of form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsDesignApproach Context triple: [FREE: Fernando Romero Enterprise monograph, documentsDesignApproach, innovative use of form]
-
A.
documentsDesignApproachOf
chosen
Indicates that one entity records or specifies the design approach used for another entity.
-
B.
designMethod
Indicates that one entity is used as the method, approach, or technique by which another entity is designed or created.
-
C.
designProcess
Indicates the sequence of actions, decisions, and iterations involved in creating, developing, or refining a design.
-
D.
designOutcome
Indicates the result, effect, or consequence produced by a particular design or design process.
-
E.
roadDesignApproach
Indicates the method or strategy used to plan, configure, or engineer the design of a road or roadway system.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdf1579c81909544272d002ef215 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.