Triple

T36289118
Position Surface form Disambiguated ID Type / Status
Subject Lackawanna River watershed E893172 entity
Predicate containsCountyPortion P5971 FINISHED
Object Lackawanna County, Pennsylvania NE NERFINISHED

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: Lackawanna County, Pennsylvania | Statement: [Lackawanna River watershed, containsCountyPortion, Lackawanna County, Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsCountyPortion
Context triple: [Lackawanna River watershed, containsCountyPortion, Lackawanna County, Pennsylvania]
  • A. isPortionOfCountyIncludedInCongressionalDistrict
    Indicates that a specific part of a county lies within the boundaries of a particular congressional district.
  • B. partiallyInCounty
    Indicates that an entity’s spatial extent overlaps with, but is not entirely contained within, a given county.
  • C. includesCounty chosen
    Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
  • D. hasCountySeatWithin
    Indicates that the designated county’s official administrative center (county seat) is located within the specified geographic area or boundary.
  • E. isInCountySubdivision
    Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
  • 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_69f76e4955c08190b8cfddca34fc0242 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a012594c27081908c80f0e0e6010290 completed May 11, 2026, 12:40 a.m.
PD Predicate disambiguation batch_6a01252350548190b1df9edc9e581e91 completed May 11, 2026, 12:38 a.m.
Created at: May 3, 2026, 4:09 p.m.