Triple
T29710307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru vs Denmark |
E751759
|
entity |
| Predicate | DenmarkCoach |
P2169
|
FINISHED |
| Object | Åge Hareide |
—
|
NE NERFINISHED |
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: Åge Hareide | Statement: [Peru vs Denmark, DenmarkCoach, Åge Hareide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DenmarkCoach Context triple: [Peru vs Denmark, DenmarkCoach, Åge Hareide]
-
A.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
coachOfGermany
Indicates that one entity serves as the coach of the German national team in a particular sport or context.
-
C.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
D.
BorussiaDortmundCoach
Indicates that a person holds or has held the position of head coach/manager of the football club Borussia Dortmund.
-
E.
headCoachOfHomeTeam
Indicates that a person serves as the head coach of the designated home team in a sporting event or competition.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:30 p.m.