Triple
T19736297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyakunin Isshu |
E473990
|
entity |
| Predicate | latestPoetEra |
P18017
|
FINISHED |
| Object | Kamakura period |
—
|
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: Kamakura period | Statement: [Hyakunin Isshu, latestPoetEra, Kamakura period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestPoetEra Context triple: [Hyakunin Isshu, latestPoetEra, Kamakura period]
-
A.
latestPoemsDateToCenturyBCE
Indicates the mapping from the date of the latest poems to the corresponding century before the Common Era in which that date falls.
-
B.
latestEra
chosen
Indicates the most recent or current era associated with an entity, relative to other possible eras.
-
C.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
D.
creatorEra
Indicates the historical period or era during which the creator of an entity was active or produced the entity.
-
E.
numberOfPoets
Indicates the quantity or count of poets associated with a given entity or context.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.