Triple

T21727588
Position Surface form Disambiguated ID Type / Status
Subject Peters Township E536312 entity
Predicate adjacentTo P224 FINISHED
Object Union Township 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: Union Township | Statement: [Peters Township, adjacentTo, Union Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Township
Context triple: [Peters Township, adjacentTo, Union Township]
  • A. Union Township
    Union Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • B. Union Township chosen
    Union Township is a rural municipality located within Lebanon County, Pennsylvania, known for its small communities and agricultural character.
  • C. Union Township
    Union Township is a small rural municipality located in Fulton County in south-central Pennsylvania.
  • D. Jordan Township
    Jordan Township is a civil township located within Antrim County in the U.S. state of Michigan.
  • E. Warren Township
    Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd03c6ec8190a2f0445c1f3a45b4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.