Triple
T16206865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enryaku |
E393349
|
entity |
| Predicate | usedForDating |
P122159
|
FINISHED |
| Object | official documents of the imperial court |
—
|
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: official documents of the imperial court | Statement: [Enryaku, usedForDating, official documents of the imperial court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForDating Context triple: [Enryaku, usedForDating, official documents of the imperial court]
-
A.
scientificDating
Indicates that an object or material has been assigned an age or time period using scientific dating methods (e.g., radiocarbon, dendrochronology, or other analytical techniques).
-
B.
likelyDatingFrom
Indicates that something is estimated or believed to originate from, or have begun in, a particular time period or date.
-
C.
likelyDatingTo
Indicates that something probably originates from or was created in a particular time period or date range.
-
D.
hasBeenDatedBy
Indicates that one entity has previously been in a romantic or dating relationship with another entity.
-
E.
hasOnlineDatingElement
Indicates that the relationship or situation involves some aspect or component of online dating.
- F. None of above. chosen
Provenance (4 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.