Triple
T27501044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JEF United Chiba |
E694150
|
entity |
| Predicate | preJLeagueCompetition |
P162454
|
FINISHED |
| Object | Japan Soccer League |
—
|
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: Japan Soccer League | Statement: [JEF United Chiba, preJLeagueCompetition, Japan Soccer League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preJLeagueCompetition Context triple: [JEF United Chiba, preJLeagueCompetition, Japan Soccer League]
-
A.
JLeagueCupTitles
Indicates the number of J.League Cup titles an entity (typically a football club) has won.
-
B.
JapanSeriesTitle
Indicates that the given title is the name used for a series in Japan.
-
C.
JapanSeriesChampionship
Indicates a championship relationship where a team or individual wins the Japan Series title in a given season or year.
-
D.
Emperor'sCupTitles
Indicates the number of Emperor's Cup championship titles an entity has won.
-
E.
JapanSeriesTitles
Indicates that the subject is a title belonging to a series originating from or specifically released in Japan.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ec2f09c819087fd73f936115cea |
completed | May 2, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 1:11 p.m.