Triple
T26030204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnam national football team |
E647409
|
entity |
| Predicate | afcMember |
P159883
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vietnam national football team, afcMember, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcMember Context triple: [Vietnam national football team, afcMember, yes]
-
A.
afcMemberSince
Indicates the date or time from which an entity has been a member of the AFC (Asian Football Confederation).
-
B.
ProFootballHallOfFame
Indicates that a person has been inducted into the Pro Football Hall of Fame.
-
C.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
D.
SuperBowlChampionAsPlayerWith
Indicates that one entity was a Super Bowl champion as a player in association with the other entity (such as a team, season, or organization).
-
E.
roleAtSanFrancisco49ers
Indicates that an entity holds or has held a specific role or position with the San Francisco 49ers organization.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605efbc1c81908d1137f310d781ad |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 9:06 a.m.