Triple
T27797430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiago Alcântara |
E702152
|
entity |
| Predicate | leagueDebutForBarcelona |
P101684
|
FINISHED |
| Object | La Liga |
—
|
NE NERFINISHED |
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: La Liga | Statement: [Thiago Alcântara, leagueDebutForBarcelona, La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueDebutForBarcelona Context triple: [Thiago Alcântara, leagueDebutForBarcelona, La Liga]
-
A.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
-
B.
startTimeAtTeam_FCBarcelona
Indicates the time at which an entity begins its association or activity with the team FC Barcelona.
-
C.
managerDebutAtRealMadridFirstTeam
Indicates that a person made their managerial debut specifically with the first team of Real Madrid.
-
D.
clubNumberAtBarcelona
Indicates the specific jersey number a player wore while playing for FC Barcelona.
-
E.
debutedForClub
chosen
Indicates that an entity made its first official appearance or start as a player for a particular sports 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 5:32 p.m.