Triple
T6106720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodokan judo |
E136133
|
entity |
| Predicate | competitionArea |
P13607
|
FINISHED |
| Object | tatami |
—
|
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: tatami | Statement: [Kodokan judo, competitionArea, tatami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionArea Context triple: [Kodokan judo, competitionArea, tatami]
-
A.
typicalCompetitionArea
Indicates the usual or standard geographic or contextual area in which a competition or competitive activity typically takes place.
-
B.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
C.
competitionSurface
chosen
Indicates the type of surface or medium on which a competition or contest takes place.
-
D.
competitionElement
Indicates that one entity is a component, phase, or sub-event within a larger competitive event or contest.
-
E.
competitionClass
Indicates that one entity is classified into a particular competitive category or level within a competition or contest.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.