Triple
T33347839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRB Junior Player of the Year |
E853847
|
entity |
| Predicate | firstRecipientCountry |
P206426
|
FINISHED |
| Object | Wales |
E9984
|
NE 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: Wales | Statement: [IRB Junior Player of the Year, firstRecipientCountry, Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRecipientCountry Context triple: [IRB Junior Player of the Year, firstRecipientCountry, Wales]
-
A.
recipientCountry
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
-
B.
recipientNationality
Indicates that the recipient in a relationship or transaction has a specified national affiliation or citizenship.
-
C.
firstHolderCountry
Indicates the country that initially held or possessed the referenced entity before any subsequent transfers or changes in ownership.
-
D.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
-
E.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
- F. None of above. chosen
Provenance (5 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a355208e588819092b284af8c53879d |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.