Triple
T38415747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Jeep Safari |
E901595
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object |
Red Rock 4-Wheelers
Red Rock 4-Wheelers is an off-road enthusiast club based in Moab, Utah, best known for hosting major four-wheel-drive trail rides and events on the region’s iconic slickrock terrain.
|
E2270219
|
NE 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: Red Rock 4-Wheelers | Statement: [Easter Jeep Safari, organizer, Red Rock 4-Wheelers]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Red Rock 4-Wheelers Triple: [Easter Jeep Safari, organizer, Red Rock 4-Wheelers]
Generated description
Red Rock 4-Wheelers is an off-road enthusiast club based in Moab, Utah, best known for hosting major four-wheel-drive trail rides and events on the region’s iconic slickrock terrain.
Provenance (5 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fccd82530c81909f8d232f60da676d |
completed | May 7, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41c285f8cc819091786c8d88e651f0 |
completed | June 29, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a41c38d00308190aa8cbf6fbc9f081b |
completed | June 29, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41c76fae84819094a9930a06e8ce2f |
completed | June 29, 2026, 1:16 a.m. |
Created at: May 3, 2026, 4:31 p.m.