Triple
T21237807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamuyamato Iwarebiko |
E523390
|
entity |
| Predicate | chronologicalCategory |
P18401
|
FINISHED |
| Object | prehistoric Japan |
—
|
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: prehistoric Japan | Statement: [Kamuyamato Iwarebiko, chronologicalCategory, prehistoric Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalCategory Context triple: [Kamuyamato Iwarebiko, chronologicalCategory, prehistoric Japan]
-
A.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologicallyClassifiedAs
chosen
Indicates that something is assigned to or placed within a specific time period or chronological category.
-
C.
chronologyIn
Indicates that one event or temporal entity occurs within the chronological scope or timeframe defined by another.
-
D.
chronologyType
Indicates the type or system of chronological ordering or dating applied to an event, period, or sequence.
-
E.
chronologicalSignificance
Indicates that one entity holds importance or relevance specifically due to its position, order, or timing within a chronological sequence relative to another.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735212ad4819082d85f4d4342faf9 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:46 p.m.