Triple
T26038373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand national football team |
E647615
|
entity |
| Predicate | affChampionshipTitles |
P159894
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Thailand national football team, affChampionshipTitles, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affChampionshipTitles Context triple: [Thailand national football team, affChampionshipTitles, 7]
-
A.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
B.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
C.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
D.
championsTitleWonBy
Indicates that a particular championship title is held or has been won by a specific entity.
-
E.
saffChampionshipTitles
Indicates the number of championship titles an entity has won in competitions organized by the South Asian Football Federation (SAFF).
- 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.