Triple
T23660719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond, Utah |
E584436
|
entity |
| Predicate | BlackAndWhiteDaysFocus |
P31
|
FINISHED |
| Object | dairy cattle show |
—
|
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: dairy cattle show | Statement: [Richmond, Utah, BlackAndWhiteDaysFocus, dairy cattle show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BlackAndWhiteDaysFocus Context triple: [Richmond, Utah, BlackAndWhiteDaysFocus, dairy cattle show]
-
A.
blackAndWhite
Indicates that something is presented or exists in only black and white, without any other colors.
-
B.
workBlackAndWhite
Indicates that the work is presented in black and white rather than in color.
-
C.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
typicalBackFocus
Indicates a relationship where attention, emphasis, or focus is characteristically directed toward the back or rear part of something.
-
E.
poseFocus
Indicates that attention or emphasis is directed toward a particular pose or body position within a scene or interaction.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35f03448190834991c2a65ef0e4 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.