Triple
T17006452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chàhn |
E412582
|
entity |
| Predicate | usedInAcademicContext |
P64192
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chàhn, usedInAcademicContext, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAcademicContext Context triple: [Chàhn, usedInAcademicContext, yes]
-
A.
academicUse
chosen
Indicates that something is intended for, suitable for, or used within an academic or educational context.
-
B.
academicContext
Indicates the educational or scholarly setting, framework, or circumstances within which an activity, relationship, or piece of information takes place.
-
C.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
D.
usedInFormalContexts
Indicates that something is employed or occurs primarily within formal or official situations, settings, or styles of communication.
-
E.
usedInEducationIn
Indicates that something is employed or applied within educational contexts in a particular place 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3831268819089286053a5acf653 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.