Triple
T28590015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khitan language |
E723614
|
entity |
| Predicate | scriptUniqueness |
P174275
|
FINISHED |
| Object | distinct from Chinese characters |
—
|
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: distinct from Chinese characters | Statement: [Khitan language, scriptUniqueness, distinct from Chinese characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUniqueness Context triple: [Khitan language, scriptUniqueness, distinct from Chinese characters]
-
A.
scriptHasDistinctLetters
Indicates that a writing system’s script uses a set of letters that are uniquely distinguishable from one another.
-
B.
scriptIndependent
Indicates that the relationship or action holds regardless of the writing system or script used to represent the entities involved.
-
C.
scriptAuthority
Indicates that an entity has the authority or control to create, modify, or execute scripts associated with another entity.
-
D.
scriptName
Indicates the name or title of a script associated with an entity, typically identifying which script is used, referenced, or executed in a given context.
-
E.
usesScriptFor
Indicates that one entity employs or relies on a particular script or writing system for its representation, communication, or operation.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 4:19 a.m.