Triple

T18125413
Position Surface form Disambiguated ID Type / Status
Subject Taylor Creek (Colorado) E433859 entity
Predicate hasAttractionQuality P130539 FINISHED
Object scenic views 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 views | Statement: [Taylor Creek (Colorado), hasAttractionQuality, scenic views]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAttractionQuality
Context triple: [Taylor Creek (Colorado), hasAttractionQuality, scenic views]
  • A. hasAttractionBasedOn
    Indicates that one entity feels an attraction toward another entity that is specifically grounded in a particular basis, criterion, or set of characteristics.
  • B. hasAttractionType
    Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
  • C. containsAttraction
    Indicates that one entity includes or encompasses an attraction (such as a point of interest, feature, or draw) within its bounds or scope.
  • D. isAttractionFor
    Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
  • E. hasPrimaryAttractionType
    Indicates that an entity is characterized by a main or dominant type of attraction or appeal it offers.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dded1bd4819080fa362e88c921cf completed April 19, 2026, 1:51 p.m.
PD Predicate disambiguation batch_69e43313ca788190baa224269e71de49 completed April 19, 2026, 1:42 a.m.
PDg Predicate description generation batch_69e438f5ae2c8190b11dee46534fa5a9 completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 10:29 a.m.