Triple
T29649695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Poland (2018 FIFA World Cup) |
E756100
|
entity |
| Predicate | JapanCaptain |
P168666
|
FINISHED |
| Object | Makoto Hasebe |
—
|
NE NERFINISHED |
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: Makoto Hasebe | Statement: [Japan vs Poland (2018 FIFA World Cup), JapanCaptain, Makoto Hasebe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanCaptain Context triple: [Japan vs Poland (2018 FIFA World Cup), JapanCaptain, Makoto Hasebe]
-
A.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
-
B.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
-
C.
commanderJapan
Indicates that an entity serves as the military commander of Japan or of Japanese forces.
-
D.
JapaneseAirCommander
Indicates that one entity serves as a Japanese air force commander in relation to another entity or context.
-
E.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 6:51 p.m.