Triple

T5700883
Position Surface form Disambiguated ID Type / Status
Subject Gettysburg micropolitan area E125656 entity
Predicate ruralSurroundings P14399 FINISHED
Object farmland and small communities in Adams County 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: farmland and small communities in Adams County | Statement: [Gettysburg micropolitan area, ruralSurroundings, farmland and small communities in Adams County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ruralSurroundings
Context triple: [Gettysburg micropolitan area, ruralSurroundings, farmland and small communities in Adams County]
  • A. hasRuralArea chosen
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • B. pastoralActivities
    Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
  • C. countryTheme
    Indicates that something is associated with or represents a thematic focus on a particular country.
  • D. hasRuralLocality
    Indicates that an entity possesses, includes, or is associated with a rural locality (such as a village, hamlet, or countryside settlement) within its scope or jurisdiction.
  • E. landscapeStyle
    Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024540afc8190aee3760f71ea39c2 completed March 22, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69c021c2d8bc8190b947c7d1f423d2f3 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:45 p.m.