Triple
T11749799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemmu era |
E279374
|
entity |
| Predicate | eraNumberInSequence |
P17918
|
FINISHED |
| Object | first era after fall of Kamakura shogunate |
—
|
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: first era after fall of Kamakura shogunate | Statement: [Kemmu era, eraNumberInSequence, first era after fall of Kamakura shogunate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraNumberInSequence Context triple: [Kemmu era, eraNumberInSequence, first era after fall of Kamakura shogunate]
-
A.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
B.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
C.
laterNumber
Indicates that one number occurs or is positioned later than another in a specified ordering or sequence.
-
D.
eraNumberInJapan
chosen
Indicates the specific numbered position of a historical era within the sequence of Japanese eras.
-
E.
sequenceInTerm
Indicates that one element occurs as an ordered part or segment within a larger term or expression.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.