Triple
T23686124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuzuru Hanyu |
E585170
|
entity |
| Predicate | JapaneseNationalChampion |
P153379
|
FINISHED |
| Object | multiple years |
—
|
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 years | Statement: [Yuzuru Hanyu, JapaneseNationalChampion, multiple years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseNationalChampion Context triple: [Yuzuru Hanyu, JapaneseNationalChampion, multiple years]
-
A.
rankWithinJapan
Indicates the relative position or standing of something when compared only among counterparts within Japan.
-
B.
JapanSeriesChampionship
Indicates a championship relationship where a team or individual wins the Japan Series title in a given season or year.
-
C.
playsJapanSeriesAgainst
Indicates that one entity participates in a Japan Series baseball matchup as an opponent against another entity.
-
D.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
E.
JapanSeriesTitle
Indicates that the given title is the name used for a series 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5bdfb488190aa7348ab29bf7904 |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.