Triple
T27134476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asaka family |
E681642
|
entity |
| Predicate | houseNameLanguage |
P24399
|
FINISHED |
| Object | Japanese language |
—
|
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: Japanese language | Statement: [Asaka family, houseNameLanguage, Japanese language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseNameLanguage Context triple: [Asaka family, houseNameLanguage, Japanese language]
-
A.
houseName
Indicates the specific name or designation assigned to a house.
-
B.
houseNickname
Indicates that an entity has an informal or alternative name used as a nickname for a house or dwelling.
-
C.
hasLanguageOfToponym
chosen
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
D.
eraNameLanguage
Indicates the language in which an era name is expressed or recorded.
-
E.
usesHouseName
Indicates that an entity refers to or identifies a house by a specific house name rather than (or in addition to) other identifiers such as a number or address.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:06 a.m.