Triple
T27835444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Meunier |
E703212
|
entity |
| Predicate | UEFAEuroAppearances |
P18049
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Thomas Meunier, UEFAEuroAppearances, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAEuroAppearances Context triple: [Thomas Meunier, UEFAEuroAppearances, 2016]
-
A.
EuropeanChampionshipAppearances
chosen
Indicates the number of times an entity has participated in a European Championship tournament.
-
B.
europeanChampionshipAppearance
Indicates that an entity has participated in at least one edition of a European championship competition.
-
C.
firstUefaEuropeanChampionshipAppearance
Indicates the event or occasion on which an entity made its debut participation in the UEFA European Championship.
-
D.
FIFAWorldCupAppearance
Indicates that an entity has participated in at least one edition of the FIFA World Cup tournament.
-
E.
UEFAEuropaLeagueTitles
Indicates the number of UEFA Europa League championship titles an entity has won.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 5:59 p.m.