Triple
T16261890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-1 World Grand Prix 2001 winner in Melbourne |
E394773
|
entity |
| Predicate | winnerEthnicity |
P122416
|
FINISHED |
| Object | Samoan |
—
|
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: Samoan | Statement: [K-1 World Grand Prix 2001 winner in Melbourne, winnerEthnicity, Samoan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerEthnicity Context triple: [K-1 World Grand Prix 2001 winner in Melbourne, winnerEthnicity, Samoan]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
winnerRepresents
Indicates that the winner of a competition or contest serves as a representative for a particular group, organization, or entity.
-
C.
winnerLanguage
Indicates that the associated language is the one used by, or officially recognized for, the winner in a given contest, award, or competitive event.
-
D.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
E.
nationalityOfWinner
Indicates the country or nationality associated with the winner of a given event or competition.
- F. None of above. chosen
Provenance (4 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.