Triple
T25459804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkmenistan national football team |
E638012
|
entity |
| Predicate | afcChallengeCupRunnersUp |
P158564
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Turkmenistan national football team, afcChallengeCupRunnersUp, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcChallengeCupRunnersUp Context triple: [Turkmenistan national football team, afcChallengeCupRunnersUp, 2012]
-
A.
afcChallengeCupRunnersUp
chosen
Indicates that the subject team finished as runners-up (second place) in the AFC Challenge Cup tournament.
-
B.
runnersUpAFL
Indicates that a team finished as the runner-up (losing grand finalist) in an Australian Football League (AFL) season or competition.
-
C.
RugbyWorldCupRunnersUp
Indicates the relationship where a team is the runner-up (finishes in second place) in a Rugby World Cup tournament.
-
D.
AFCRunnerUp
Indicates that an entity finished in second place (runner-up) in the AFC (American Football Conference) championship for a given season or event.
-
E.
RugbyWorldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the Rugby World Cup.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72a452c8190b53c90a8a725dd69 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:11 p.m.