Triple
T29948482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisa Brocard |
E760705
|
entity |
| Predicate | teamOrClub |
P8194
|
FINISHED |
| Object | Italian national cross-country skiing team |
—
|
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: Italian national cross-country skiing team | Statement: [Elisa Brocard, teamOrClub, Italian national cross-country skiing team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamOrClub Context triple: [Elisa Brocard, teamOrClub, Italian national cross-country skiing team]
-
A.
clubBase
Indicates the location or place that serves as the primary base or home venue for a club.
-
B.
club
chosen
Indicates that an entity is a member of, affiliated with, or participates in the activities of a particular club or organized group.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
E.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780d1b948190a1a8ca4f34d93cb3 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:24 p.m.