Triple
T28193201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Sneijder |
E716371
|
entity |
| Predicate | GalatasarayTransferYear |
P24179
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Wesley Sneijder, GalatasarayTransferYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GalatasarayTransferYear Context triple: [Wesley Sneijder, GalatasarayTransferYear, 2013]
-
A.
BarcelonaTransferFee
Indicates the amount of money paid as a transfer fee in a football (soccer) transaction involving FC Barcelona.
-
B.
tradeYear
chosen
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
-
C.
notableTransferWindow
Indicates that a transfer window (period for player transfers) is regarded as particularly significant or noteworthy in some context.
-
D.
yearWonGoldenBootAward
Indicates the specific year in which an entity received the Golden Boot award.
-
E.
movedToStadiumYear
Indicates the year in which an entity (such as a team or organization) relocated to a particular stadium.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642cf92d88190bdb919fc9fb18c2b |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:26 p.m.