Triple
T29146488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Fusar-Poli |
E738786
|
entity |
| Predicate | coachingLocation |
P33625
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [Barbara Fusar-Poli, coachingLocation, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingLocation Context triple: [Barbara Fusar-Poli, coachingLocation, Italy]
-
A.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
B.
coachingAt
Indicates that one entity is serving as a coach at, or providing coaching services within, a particular organization, institution, or location.
-
C.
basedInAsCoach
chosen
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
D.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
-
E.
positionCoached
Indicates that one entity served as a coach for another entity in a specific position or role.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 11:39 a.m.