Triple
T5842629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neymar Jr. |
E129628
|
entity |
| Predicate | transferFeeRecord |
P44956
|
FINISHED |
| Object | world-record transfer fee in 2017 move to Paris Saint-Germain |
—
|
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: world-record transfer fee in 2017 move to Paris Saint-Germain | Statement: [Neymar Jr., transferFeeRecord, world-record transfer fee in 2017 move to Paris Saint-Germain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferFeeRecord Context triple: [Neymar Jr., transferFeeRecord, world-record transfer fee in 2017 move to Paris Saint-Germain]
-
A.
capitalTransferResult
Indicates the outcome or status resulting from a transfer of capital between entities.
-
B.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
-
C.
transferEvent
chosen
Indicates an event in which something is moved, handed over, or reassigned from one entity to another.
-
D.
transferAfter
Indicates that one entity transfers something to another entity only after a specified event or condition has occurred.
-
E.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.