Triple
T11818548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado Scenic and Historic Byways system |
E281064
|
entity |
| Predicate | hasDesignationCriteria |
P101662
|
FINISHED |
| Object | scenic significance |
—
|
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: scenic significance | Statement: [Colorado Scenic and Historic Byways system, hasDesignationCriteria, scenic significance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignationCriteria Context triple: [Colorado Scenic and Historic Byways system, hasDesignationCriteria, scenic significance]
-
A.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
B.
hasDesignationBy
Indicates that one entity has been formally assigned or labeled with a specific designation by another entity.
-
C.
hasDesignationForm
Indicates that an entity is associated with a particular form or format used for its designation or naming.
-
D.
canBeDesignatedBy
Indicates that one entity is capable of being assigned, labeled, or identified by another entity as its designation.
-
E.
hasCriticalDesignation
Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.