Triple
T28801045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terje Hauge |
E727234
|
entity |
| Predicate | refereedMatchRole |
P40868
|
FINISHED |
| Object | referee in 2006 UEFA Champions League Final |
—
|
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: referee in 2006 UEFA Champions League Final | Statement: [Terje Hauge, refereedMatchRole, referee in 2006 UEFA Champions League Final]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refereedMatchRole Context triple: [Terje Hauge, refereedMatchRole, referee in 2006 UEFA Champions League Final]
-
A.
refereedMatch
chosen
Indicates that an entity served as the referee or official overseeing and enforcing the rules in a particular match or game.
-
B.
refereedLeague
Indicates that an entity served as a referee or officiated in a particular sports league.
-
C.
roleAtMatches
Indicates that an entity’s role or position at a given time or context matches a specified role criterion.
-
D.
refereeNationality
Indicates the country or national affiliation associated with a referee.
-
E.
refereedCompetition
Indicates that a competition is overseen by an official referee or judging authority who enforces rules and makes binding decisions.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 28, 2026, 6:27 a.m.