Triple
T37734495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hóngrěn |
E940242
|
entity |
| Predicate | canBeWrittenWithoutToneMarksAs |
P162423
|
FINISHED |
| Object | Hongren |
—
|
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: Hongren | Statement: [Hóngrěn, canBeWrittenWithoutToneMarksAs, Hongren]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeWrittenWithoutToneMarksAs Context triple: [Hóngrěn, canBeWrittenWithoutToneMarksAs, Hongren]
-
A.
usesToneMarks
Indicates that one entity applies or includes diacritical tone marks in the representation or transcription of another entity (such as text, language, or symbols).
-
B.
hasVariantWithoutToneMarks
chosen
Indicates that one textual form is a variant of another in which all tone marks have been removed.
-
C.
canBeWrittenAsKana
Indicates that something (typically text or a term) is able to be represented using Japanese kana characters.
-
D.
isWrittenWith
Indicates that something is created or expressed using a particular writing tool, medium, or system.
-
E.
canBeWrittenIn
Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
Created at: May 3, 2026, 4:18 p.m.