Triple
T22491158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aitana Bonmatí |
E556020
|
entity |
| Predicate | clubJoinYear |
P43965
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Aitana Bonmatí, clubJoinYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubJoinYear Context triple: [Aitana Bonmatí, clubJoinYear, 2016]
-
A.
joinedClubYear
chosen
Indicates the specific year in which an entity became a member of a particular club.
-
B.
joinedInYear
Indicates that an entity became a member of, or started participating in, another entity (such as an organization, group, or institution) in a specified calendar year.
-
C.
leftClubYear
Indicates the year in which an entity departed or ceased membership from a particular club.
-
D.
CAFMemberSince
Indicates that an entity has been a member of the CAF (or a specified organization/group named CAF) since a particular date or point in time.
-
E.
joinedConferenceYear
Indicates the year in which an entity became a participant or member of a particular conference.
- 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.