Triple
T6469963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East_Asian_Width |
E142322
|
entity |
| Predicate | categoryLabel_Na |
P87
|
FINISHED |
| Object | Narrow |
—
|
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: Narrow | Statement: [East_Asian_Width, categoryLabel_Na, Narrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryLabel_Na Context triple: [East_Asian_Width, categoryLabel_Na, Narrow]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
notClassifiedAs
Indicates that an entity is explicitly not assigned to, or excluded from, a particular class or category.
-
C.
categoryDistinguishedFrom
Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
-
D.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
E.
generalCategory
Indicates that one entity is classified as a broad or overarching category to which the other entity belongs.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2e896481908ed004e3b0a33121 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.