Triple
T7302806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EURO |
E167898
|
entity |
| Predicate | numberOfTitles_Spain |
P76093
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [EURO, numberOfTitles_Spain, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTitles_Spain Context triple: [EURO, numberOfTitles_Spain, 3]
-
A.
titleInSpanish
Indicates that one entity is the title of another entity expressed in the Spanish language.
-
B.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
C.
numberOfVueltaAEspanaOverallVictories
Indicates the total count of times an entity has won the Vuelta a España general (overall) classification.
-
D.
frequencyCategoryInSpain
Indicates the categorized level of how often something occurs or is observed within Spain.
-
E.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.