Triple
T9805971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronny Deila |
E237954
|
entity |
| Predicate | managedClub |
P3239
|
FINISHED |
| Object | Standard Liège |
E552945
|
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: Standard Liège | Statement: [Ronny Deila, managedClub, Standard Liège]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standard Liège Context triple: [Ronny Deila, managedClub, Standard Liège]
-
A.
Standard Liège
chosen
Standard Liège is a prominent Belgian professional football club based in Liège, known for its rich history and multiple domestic league titles.
-
B.
Leffe
Leffe is a historic Belgian abbey beer brand known for its rich, flavorful ales, now produced and marketed globally by AB InBev.
-
C.
Jupiler
Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
-
D.
Brabantine gros
The Brabantine gros was a medieval silver coin issued in the Duchy of Brabant, used widely in regional trade alongside larger gold denominations.
-
E.
Bierges
Bierges is a village in Walloon Brabant, Belgium, that forms part of the municipality of Wavre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c45878e481908aa2098eceb44256 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.