Triple
T36930419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FREE: Fernando Romero Enterprise monograph |
E913463
|
entity |
| Predicate | workTypeCoverage |
P38809
|
FINISHED |
| Object | built projects |
—
|
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: built projects | Statement: [FREE: Fernando Romero Enterprise monograph, workTypeCoverage, built projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeCoverage Context triple: [FREE: Fernando Romero Enterprise monograph, workTypeCoverage, built projects]
-
A.
workCoverage
Indicates that one entity’s work or responsibilities extend to, include, or provide coverage for another entity, area, or time period.
-
B.
workCovered
Indicates that one work or effort is included within the scope, protection, or responsibility defined by another entity or arrangement.
-
C.
typeOfCoverage
chosen
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
D.
grantedForWorkType
Indicates that a permission, license, or authorization is given specifically in connection with a particular type or category of work.
-
E.
coversWork
Indicates that one entity provides coverage, protection, or inclusion for a particular work, task, or piece of content.
- 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.