Triple
T27775543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea national football team |
E699173
|
entity |
| Predicate | eaffTitles |
P163336
|
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: [South Korea national football team, eaffTitles, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eaffTitles Context triple: [South Korea national football team, eaffTitles, multiple]
-
A.
ACCtitles
Indicates that one entity holds or is associated with academic or professional titles conferred by another entity.
-
B.
eraTitle
Indicates that a title or name is assigned to a specific historical or temporal era.
-
C.
eraTitleWith
Indicates a relationship where a specific era is associated with or designated by a particular title.
-
D.
USTitles
Indicates that the entity holds or is associated with official titles or designations specific to the United States.
-
E.
earlyTitleOf
Indicates that one entity served as an earlier or preliminary title for another entity.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63799f02c81909ca4f4d95728fed7 |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:05 p.m.