Triple
T30945306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheyenne Frontier Days |
E788372
|
entity |
| Predicate | attendanceScale |
P116638
|
FINISHED |
| Object | hundreds of thousands of visitors |
—
|
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: hundreds of thousands of visitors | Statement: [Cheyenne Frontier Days, attendanceScale, hundreds of thousands of visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceScale Context triple: [Cheyenne Frontier Days, attendanceScale, hundreds of thousands of visitors]
-
A.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
attendanceFeature
Indicates that an entity provides or is associated with a feature or functionality related to attendance (such as tracking, managing, or recording attendance).
-
C.
attendanceIssues
Indicates that there are problems or irregularities related to an entity’s attendance, such as frequent absences, tardiness, or non-compliance with attendance expectations.
-
D.
attendancePromotion
Indicates a relationship where one entity promotes, encourages, or incentivizes attendance at an event, activity, or location for another entity.
-
E.
attendanceUnit
chosen
Indicates a unit or measure used to quantify or record attendance in a given context.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:53 p.m.