Triple

T12517690
Position Surface form Disambiguated ID Type / Status
Subject Falls Township, Pennsylvania E299229 entity
Predicate historicalName P65 FINISHED
Object Falls Township
Falls Township is a municipality in Bucks County, Pennsylvania, known as one of the county’s oldest townships with roots dating back to the colonial era.
E987019 NE FINISHED

How this triple was built (4 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: Falls Township | Statement: [Falls Township, Pennsylvania, historicalName, Falls Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falls Township
Context triple: [Falls Township, Pennsylvania, historicalName, Falls Township]
  • A. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • B. Landis Township
    Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
  • C. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • D. Laird Township
    Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
  • E. Harrison Township
    Harrison Township is a suburban municipality in Gloucester County, New Jersey, known for its residential communities, local schools, and semi-rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Falls Township
Triple: [Falls Township, Pennsylvania, historicalName, Falls Township]
Generated description
Falls Township is a municipality in Bucks County, Pennsylvania, known as one of the county’s oldest townships with roots dating back to the colonial era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Falls Township
Target entity description: Falls Township is a municipality in Bucks County, Pennsylvania, known as one of the county’s oldest townships with roots dating back to the colonial era.
  • A. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • B. Landis Township
    Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
  • C. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • D. Laird Township
    Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
  • E. Harrison Township
    Harrison Township is a suburban municipality in Gloucester County, New Jersey, known for its residential communities, local schools, and semi-rural character.
  • F. None of above. chosen

Provenance (5 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545a2e188190bb92120df740003d completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce257348190b01179773992d414 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.