Triple
T2925153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Ødegaard |
E78824
|
entity |
| Predicate | joinedClubYear |
P43965
|
FINISHED |
| Object | Real Madrid CF 2015 |
—
|
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: Real Madrid CF 2015 | Statement: [Martin Ødegaard, joinedClubYear, Real Madrid CF 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedClubYear Context triple: [Martin Ødegaard, joinedClubYear, Real Madrid CF 2015]
-
A.
joinedConferenceYear
Indicates the year in which an entity became a participant or member of a particular conference.
-
B.
joinedLeagueInSeason
Indicates that an entity became a member of a particular league starting in a specified season.
-
C.
joinedTeamAsCoachYear
Indicates the year in which an individual joined a team specifically in the role of coach.
-
D.
associatedClubFounded
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
-
E.
establishedInLeague
Indicates that an entity (such as a team or club) was founded or formally created while participating in, or as part of, a particular league.
- F. None of above. chosen
Provenance (4 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:55 p.m.