Triple
T30067325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takamatsu Castle |
E764068
|
entity |
| Predicate | domainEra |
P145406
|
FINISHED |
| Object | Edo 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: Edo period | Statement: [Takamatsu Castle, domainEra, Edo period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domainEra Context triple: [Takamatsu Castle, domainEra, Edo period]
-
A.
brandEra
Indicates the historical period or era during which a particular brand identity, style, or strategy is in effect.
-
B.
subjectHasEra
chosen
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
C.
dateEnactedEraName
Indicates that a law, policy, or formal act was enacted during a specific named historical era.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
divisionOrEraLabel
Indicates that one entity serves as a label or designation for a particular division, period, or era associated with another entity.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ca767788190abd71ea33ce049e5 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:59 p.m.