Triple
T31004161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich clock at Old Trafford |
E790018
|
entity |
| Predicate | associatedWithClubCompetition |
P142017
|
FINISHED |
| Object | European Cup |
E614153
|
NE 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: European Cup | Statement: [Munich clock at Old Trafford, associatedWithClubCompetition, European Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubCompetition Context triple: [Munich clock at Old Trafford, associatedWithClubCompetition, European Cup]
-
A.
associatedWithCompetition
Indicates that there is a relationship or involvement between an entity and a specific competition or competitive event.
-
B.
associatedWithCompetitionLevel
Indicates that something has a relationship to, or is characterized by, a particular level or tier of competition.
-
C.
associatedClubUEFACompetition
chosen
Indicates that a club is linked to, or participates in, a specific UEFA-organized competition.
-
D.
associatedWithClubSuccess
Indicates that an entity has a meaningful connection or contribution to the success or achievements of a club.
-
E.
associatedCompetitionType
Indicates that one entity is linked to or involved with a particular type or category of competition.
- F. None of above.
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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29183441a881909b5d2da676433345 |
completed | June 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:57 p.m.