Triple

T34637441
Position Surface form Disambiguated ID Type / Status
Subject Tennessee and Virginia E889466 entity
Predicate shareNationalParkRegion P201784 FINISHED
Object Appalachian national forests and parklands nearby 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: Appalachian national forests and parklands nearby | Statement: [Tennessee and Virginia, shareNationalParkRegion, Appalachian national forests and parklands nearby]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareNationalParkRegion
Context triple: [Tennessee and Virginia, shareNationalParkRegion, Appalachian national forests and parklands nearby]
  • A. majorNationalParkRegion
    Indicates that a location or area constitutes a primary or significant region within a national park.
  • B. nationalParkAccess
    Indicates that one entity has the right, ability, or permission to enter, use, or benefit from a specified national park.
  • C. nationalPark
    Indicates that a location is designated and managed as a national park by a governing authority.
  • D. hasRegionalParkSystem
    Indicates that an entity possesses, manages, or is served by an organized system of regional parks.
  • E. hasRegionalPark
    Indicates that a place or administrative area contains or is served by a designated regional park.
  • 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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a002103c93081908398fa5726f5fa6e completed May 10, 2026, 6:09 a.m.
PD Predicate disambiguation batch_6a001fcb9fb48190a27d8f2ca983fbe6 completed May 10, 2026, 6:03 a.m.
PDg Predicate description generation batch_6a00210313c08190ab581c505ef46b8e completed May 10, 2026, 6:09 a.m.
Created at: May 1, 2026, 2:04 a.m.