Triple
T4497374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minamoto no Yoritomo |
E100731
|
entity |
| Predicate | yearTitleConferred |
P8111
|
FINISHED |
| Object | 1192 |
—
|
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: 1192 | Statement: [Minamoto no Yoritomo, yearTitleConferred, 1192]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearTitleConferred Context triple: [Minamoto no Yoritomo, yearTitleConferred, 1192]
-
A.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
-
C.
conferredOn
Indicates that something (such as an honor, title, degree, or benefit) has been formally granted or bestowed upon a particular entity.
-
D.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
E.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bf3ff48190b3aae0136d7fce45 |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.