Triple
T26038381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand national football team |
E647615
|
entity |
| Predicate | seaGamesGoldMedals |
P159895
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Thailand national football team, seaGamesGoldMedals, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaGamesGoldMedals Context triple: [Thailand national football team, seaGamesGoldMedals, multiple]
-
A.
AsianGamesGoldMedals
Indicates that the subject has won one or more gold medals at the Asian Games.
-
B.
commonwealthGamesGoldMedals
Indicates the number of gold medals an entity has won at the Commonwealth Games.
-
C.
athleticsGoldMedals
Indicates that the subject has won one or more gold medals in athletics competitions.
-
D.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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.