Triple

T6791689
Position Surface form Disambiguated ID Type / Status
Subject Mount Heng (Hengshan, Hunan) E155945 entity
Predicate provinceLevelScenicArea P70480 FINISHED
Object Yes 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: Yes | Statement: [Mount Heng (Hengshan, Hunan), provinceLevelScenicArea, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provinceLevelScenicArea
Context triple: [Mount Heng (Hengshan, Hunan), provinceLevelScenicArea, Yes]
  • A. provincePark chosen
    Indicates that a park is located within, administered by, or designated as a provincial-level jurisdiction.
  • B. touristAttractionIn
    Indicates that a place functions as a tourist attraction located within a specified geographic area or entity.
  • C. hasNationalScenicArea
    Indicates that an entity is designated as or associated with a National Scenic Area.
  • D. hasRegionalPark
    Indicates that a place or administrative area contains or is served by a designated regional park.
  • E. tourismRegion
    Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ae4d1c819089ac6b3abf11a341 completed March 27, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69c6d0979ce0819094678896da4e3169 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:15 p.m.