Triple
T26038365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand national football team |
E647615
|
entity |
| Predicate | afcAffiliation |
P159893
|
FINISHED |
| Object | since 1954 |
—
|
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: since 1954 | Statement: [Thailand national football team, afcAffiliation, since 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcAffiliation Context triple: [Thailand national football team, afcAffiliation, since 1954]
-
A.
leagueAffiliationOfTeam
Indicates that a sports team is affiliated with, or competes within, a particular league.
-
B.
team2Affiliation
Indicates that an entity is affiliated with, belongs to, or is associated with a second team in a given context.
-
C.
playerAffiliation
Indicates the organization, team, or group with which a player is formally associated or aligned.
-
D.
americanFootballTeamOf
Indicates that one entity is the American football team associated with, representing, or belonging to another entity (such as a school, city, or organization).
-
E.
teamFranchise
Indicates that a sports team is associated with, or belongs to, a particular franchise 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60620fb648190826cfb2fdefe4858 |
completed | May 2, 2026, 2:11 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, 9:08 a.m.