Triple
T22492092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Llull |
E556043
|
entity |
| Predicate | clubAchievements |
P132899
|
FINISHED |
| Object | multiple EuroLeague titles with Real Madrid |
—
|
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: multiple EuroLeague titles with Real Madrid | Statement: [Sergio Llull, clubAchievements, multiple EuroLeague titles with Real Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubAchievements Context triple: [Sergio Llull, clubAchievements, multiple EuroLeague titles with Real Madrid]
-
A.
relatedClubAchievement
chosen
Indicates that a club achievement is associated with, or relevant to, the subject entity.
-
B.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
C.
referentClubAchievement
Indicates that a specific club is the one associated with, or credited for, a particular achievement.
-
D.
notableAchievementOfClub
Indicates that a particular achievement is recognized as a significant or distinguished accomplishment of a specific club.
-
E.
clubBase
Indicates the location or place that serves as the primary base or home venue for a club.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15caea9d081909adc90ae78999d53 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.