Triple
T25676592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nōhime |
E643821
|
entity |
| Predicate | maritalResidence |
P84162
|
FINISHED |
| Object | Oda household |
—
|
NE NERFINISHED |
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: Oda household | Statement: [Nōhime, maritalResidence, Oda household]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalResidence Context triple: [Nōhime, maritalResidence, Oda household]
-
A.
residenceDuringMarriage
chosen
Indicates the place where spouses lived or maintained their home during the period of their marriage.
-
B.
afterMarriageResidence
Indicates the place or arrangement where individuals live following their marriage.
-
C.
primaryMaritalHomeOf
Indicates that a given residence serves as the main marital home of a specified married couple or spouse.
-
D.
residenceBeforeMarriage
Indicates that an individual lived at a particular residence prior to their marriage.
-
E.
maritalBasis
Indicates that the relationship or status in question is founded on, justified by, or determined due to a marital relationship between the involved entities.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3712cc8190b6e851960cc7c9e9 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 7:39 p.m.