Triple
T24719332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 川越市 |
E612252
|
entity |
| Predicate | 歴史的時代の特徴 |
P18777
|
FINISHED |
| Object | 江戸時代の城下町として発展 |
—
|
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: 江戸時代の城下町として発展 | Statement: [川越市, 歴史的時代の特徴, 江戸時代の城下町として発展]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 歴史的時代の特徴 Context triple: [川越市, 歴史的時代の特徴, 江戸時代の城下町として発展]
-
A.
historicalCharacteristic
chosen
Indicates that an entity possesses a trait, feature, or quality that is rooted in or defined by its history or past events.
-
B.
historical era
Indicates the broad historical period or epoch during which an entity, event, or phenomenon took place or is associated.
-
C.
historicalPeriodOfSignificance
Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
-
D.
strategicFeatureHistorical
Indicates that something has historically served as a strategic feature or asset within a broader plan, conflict, or competitive context.
-
E.
periodCharacterizedBy
Indicates that a specific time period is defined or distinguished by a particular characteristic, condition, or feature.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:40 a.m.