Triple
T27770909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cegeka Arena |
E701740
|
entity |
| Predicate | countryOfLeagueOfHomeTeam |
P106652
|
FINISHED |
| Object | Belgium |
—
|
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: Belgium | Statement: [Cegeka Arena, countryOfLeagueOfHomeTeam, Belgium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLeagueOfHomeTeam Context triple: [Cegeka Arena, countryOfLeagueOfHomeTeam, Belgium]
-
A.
countryOfLeague
Indicates the country in which a given league is based or officially belongs.
-
B.
homeCountryForLeaguePurposes
Indicates the country that is officially recognized as a league’s home or base of operations for regulatory or organizational purposes.
-
C.
countryOfLeagueMatches
Indicates the country in which the league’s matches are held or officially hosted.
-
D.
hasHomeCountryLeague
Indicates that an entity (typically a sports team or player) is associated with a specific league that operates in its home country.
-
E.
hasHomeTeamLeagueCountry
chosen
Indicates that the country specified is the country in which the league of the home team is based.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 27, 2026, 4:35 p.m.