Triple
T37061093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京都府長岡京市 |
E917324
|
entity |
| Predicate | シンボルキャラクター |
P42647
|
FINISHED |
| Object | お玉ちゃん |
—
|
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: お玉ちゃん | Statement: [京都府長岡京市, シンボルキャラクター, お玉ちゃん]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: シンボルキャラクター Context triple: [京都府長岡京市, シンボルキャラクター, お玉ちゃん]
-
A.
brandCharacter
chosen
Indicates that one entity serves as a brand character or mascot representing another entity (typically a brand or product).
-
B.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
C.
symbolInFiction
Indicates that something functions as a symbolic element within a fictional work or narrative.
-
D.
karakter
Indicates that one entity is a character (e.g., a role or persona) associated with or embodied by another entity.
-
E.
representedByCharacter
Indicates that one entity is depicted, symbolized, or personified by a particular character in a work or medium.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.