Triple
T32382136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatsu basho |
E827450
|
entity |
| Predicate | numberOfHonbashoPerYear |
P197177
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Hatsu basho, numberOfHonbashoPerYear, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHonbashoPerYear Context triple: [Hatsu basho, numberOfHonbashoPerYear, 6]
-
A.
KandaMatsuriFrequency
Indicates how often the Kanda Matsuri festival occurs within a given time period.
-
B.
numberOfHonoreesPerPeriod
Indicates the count of honorees associated with each defined time period.
-
C.
hasNumberOfOccurrencesPerYear
chosen
Indicates the relationship that specifies how many times something happens within a one-year period.
-
D.
currentTenshuCompletionYear
Indicates the calendar year in which the current tenshu (main keep of a Japanese castle) was completed.
-
E.
rankWithinKamakuraGozan
Indicates the position or level an entity holds within the hierarchical ranking system of the Kamakura Gozan (the Five Great Zen Temples of Kamakura).
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01a9e333fc819087d583ff319be0b3 |
completed | May 11, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_6a01a877c9e08190b0678618d3533286 |
completed | May 11, 2026, 9:59 a.m. |
Created at: May 1, 2026, 12:51 a.m.