Triple
T12254656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Bettega |
E292067
|
entity |
| Predicate | relativePositionInTeam |
P47236
|
FINISHED |
| Object | attacking player |
—
|
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: attacking player | Statement: [Roberto Bettega, relativePositionInTeam, attacking player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionInTeam Context triple: [Roberto Bettega, relativePositionInTeam, attacking player]
-
A.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
B.
previousPositionWithTeam
Indicates that an entity previously held a position or role with a specified team before their current or later role.
-
C.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
D.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
E.
clubPosition
chosen
Indicates the specific role or position an individual holds within a sports club or team.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.