Triple
T27892616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferran Corominas |
E705395
|
entity |
| Predicate | debutForFirstTeam |
P101684
|
FINISHED |
| Object | RCD Espanyol first team in early 2000s |
—
|
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: RCD Espanyol first team in early 2000s | Statement: [Ferran Corominas, debutForFirstTeam, RCD Espanyol first team in early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutForFirstTeam Context triple: [Ferran Corominas, debutForFirstTeam, RCD Espanyol first team in early 2000s]
-
A.
debutInTest
Indicates the event or context in which an entity makes its first official appearance or performance in a test setting.
-
B.
debutForNationalTeam
Indicates the event or fact that an entity makes its first official appearance representing a national team in competition.
-
C.
debutInLeague
Indicates the league in which an entity (typically a player or team) made its first official appearance.
-
D.
debutedForClub
chosen
Indicates that an entity made its first official appearance or start as a player for a particular sports club.
-
E.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 6:36 p.m.