Triple
T6648467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 UEFA Champions League Final |
E150759
|
entity |
| Predicate | goalsByRealMadrid |
P72030
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2002 UEFA Champions League Final, goalsByRealMadrid, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsByRealMadrid Context triple: [2002 UEFA Champions League Final, goalsByRealMadrid, 2]
-
A.
leftRealMadrid
Indicates that an entity departed from or is no longer a member of Real Madrid (e.g., a player leaving the club).
-
B.
wonCopaDelRey
Indicates that one entity achieved victory in the Copa del Rey competition over another entity or in a specific edition of the tournament.
-
C.
SupercopaDeEspañaTitles
Indicates the number of Supercopa de España titles an entity has won.
-
D.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
E.
totalGoalsRecord
Indicates the total number of goals that have been recorded for an entity across all relevant events or contexts.
- F. None of above. chosen
Provenance (4 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2 p.m.