Triple

T16732830
Position Surface form Disambiguated ID Type / Status
Subject Springdale Township, Pennsylvania E406633 entity
Predicate isInlandWaterPercentage P76684 FINISHED
Object low 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: low | Statement: [Springdale Township, Pennsylvania, isInlandWaterPercentage, low]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInlandWaterPercentage
Context triple: [Springdale Township, Pennsylvania, isInlandWaterPercentage, low]
  • A. inlandWaterPercentage chosen
    Indicates the proportion of a geographic area’s total surface that is covered by inland water bodies such as lakes, rivers, and reservoirs.
  • B. areaWaterPercentage
    Indicates the proportion of an entity’s total area that is covered by water, typically expressed as a percentage.
  • C. isInlandWaterBody
    Indicates that one entity is a body of water located inland (such as a lake, river, or reservoir) rather than part of the open ocean or sea.
  • D. isInlandWaterBodyOf
    Indicates that one water body is an inland (non-oceanic) water feature that is geographically part of, contained within, or associated with another entity.
  • E. hasAreaWaterBody
    Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3748d08190a57ae40f54aa63c4 completed April 18, 2026, 2:59 p.m.
PD Predicate disambiguation batch_69e319c807788190901250ab6e0ca55f completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.