Triple

T38415761
Position Surface form Disambiguated ID Type / Status
Subject Easter Jeep Safari E901595 entity
Predicate trailExample P190857 FINISHED
Object Hell’s Revenge
Hell’s Revenge is a famous, challenging off-road slickrock trail near Moab, Utah, popular with 4x4 enthusiasts and featured prominently during the annual Easter Jeep Safari.
 E2270220 NE FINISHED

How this triple was built (3 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: Hell’s Revenge | Statement: [Easter Jeep Safari, trailExample, Hell’s Revenge]
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: Hell’s Revenge
Triple: [Easter Jeep Safari, trailExample, Hell’s Revenge]
Generated description
Hell’s Revenge is a famous, challenging off-road slickrock trail near Moab, Utah, popular with 4x4 enthusiasts and featured prominently during the annual Easter Jeep Safari.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: trailExample
Context triple: [Easter Jeep Safari, trailExample, Hell’s Revenge]
  • A. trackExamples
    Indicates that instances or occurrences of something are being monitored, recorded, or kept as examples for reference or analysis.
  • B. trailEndpoint
    Indicates that one entity marks the terminal point or ending location of a trail defined by another entity.
  • C. trailName
    Indicates the name assigned to a specific trail or path in the relationship.
  • D. trailAccess
    Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
  • E. trailUses
    Indicates that a trail supports or is designated for specific types of use or activities (such as hiking, biking, or horseback riding).
  • F. None of above. chosen

Provenance (7 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_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 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.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fcd148e6d4819082c118832ecc599b completed May 7, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:31 p.m.