Triple
T36102236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yayoi district |
E1044242
|
entity |
| Predicate | followedByCulturalPeriod |
P29666
|
FINISHED |
| Object | Kofun period |
—
|
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: Kofun period | Statement: [Yayoi district, followedByCulturalPeriod, Kofun period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByCulturalPeriod Context triple: [Yayoi district, followedByCulturalPeriod, Kofun period]
-
A.
culturalPeriod
Indicates the historical or cultural era with which an entity is associated or during which it was created, used, or significant.
-
B.
followsEra
chosen
Indicates that one time period or era comes directly after another in chronological order.
-
C.
successorCulture
Indicates that one culture directly follows and continues or replaces another culture in time, inheriting or building upon its traditions or characteristics.
-
D.
hasCulturalLegacyIn
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
E.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 3, 2026, 4:08 p.m.