Triple
T29649701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Poland (2018 FIFA World Cup) |
E756100
|
entity |
| Predicate | JapanKitColor |
P65024
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Japan vs Poland (2018 FIFA World Cup), JapanKitColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanKitColor Context triple: [Japan vs Poland (2018 FIFA World Cup), JapanKitColor, blue]
-
A.
JapaneseDesignation
Indicates that one entity is formally designated, named, or classified in the Japanese language or by a Japanese authority.
-
B.
traditionalKitColor
chosen
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
C.
eraNumberInJapan
Indicates the specific numbered position of a historical era within the sequence of Japanese eras.
-
D.
regionOfJapan
Indicates that one entity is a geographic region that is part of, or located within, Japan.
-
E.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:51 p.m.