Triple
T21359130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankashū |
E526719
|
entity |
| Predicate | hasPoemCount |
P32364
|
FINISHED |
| Object | approximately 1500 poems |
—
|
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: approximately 1500 poems | Statement: [Sankashū, hasPoemCount, approximately 1500 poems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoemCount Context triple: [Sankashū, hasPoemCount, approximately 1500 poems]
-
A.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
B.
hasPoemSetIn
Indicates that a poem is set in or takes place within a particular location or setting.
-
C.
approximateNumberOfPoems
chosen
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
D.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
E.
hasCanonicalPoem
Indicates that an entity is associated with a poem recognized as its standard or authoritative version.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bac9e1481909121e89f046c77f6 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:07 p.m.