Triple
T34410967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onjō-ji |
E883262
|
entity |
| Predicate | etymologyOfMiidera |
P15774
|
FINISHED |
| Object | “Temple of the Three Wells” |
—
|
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: “Temple of the Three Wells” | Statement: [Onjō-ji, etymologyOfMiidera, “Temple of the Three Wells”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyOfMiidera Context triple: [Onjō-ji, etymologyOfMiidera, “Temple of the Three Wells”]
-
A.
kun’yomiDerivedFrom
Indicates that a Japanese kun’yomi (native Japanese reading of a kanji) originates from or is historically derived from another form, source, or expression.
-
B.
etymologyProposedBy
Indicates that a proposed origin or derivation of a word or term is attributed to a particular person or source.
-
C.
hasNameEtymologyIn
Indicates that the origin or derivation of an entity’s name is based in, or traceable to, a specified source such as a language, place, or cultural context.
-
D.
etymologyReason
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
-
E.
etymologyPossibleMeaning
chosen
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.