Triple
T12297918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah English |
E293136
|
entity |
| Predicate | hasPerceptualLabel |
P9248
|
FINISHED |
| Object | "Utah accent" |
—
|
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: "Utah accent" | Statement: [Utah English, hasPerceptualLabel, "Utah accent"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerceptualLabel Context triple: [Utah English, hasPerceptualLabel, "Utah accent"]
-
A.
hasPerceptualQuality
Indicates that something possesses a particular sensory or perceptual characteristic, such as a color, sound, texture, taste, or smell.
-
B.
hasLabel
chosen
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
C.
intendedPerception
Indicates that one entity is meant or designed to be perceived (e.g., seen, heard, or otherwise sensed) by another entity.
-
D.
altLabel
Indicates an alternative name, label, or synonym used to refer to the same entity as the primary label.
-
E.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:52 p.m.