Triple
T10242683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabata Station |
E243634
|
entity |
| Predicate | hasMidoriNoMadoguchi |
P93160
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tabata Station, hasMidoriNoMadoguchi, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMidoriNoMadoguchi Context triple: [Tabata Station, hasMidoriNoMadoguchi, yes]
-
A.
hasMikoshi
Indicates that an entity possesses, contains, or is associated with a mikoshi (a portable Shinto shrine).
-
B.
hasSori
Indicates that a plant or similar organism possesses sori, the spore-producing structures typically found on the underside of fronds or leaves.
-
C.
hasTorii
Indicates that something possesses or features a torii gate as part of its structure or environment.
-
D.
hasPrimaryKami
Indicates that an entity is associated with or devoted to a specific main kami (deity) as its primary spiritual focus or guardian.
-
E.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d32741888190928b045e2241cfac |
completed | April 7, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:25 a.m.