Triple

T9188112
Position Surface form Disambiguated ID Type / Status
Subject Griggstown Schoolhouse E220509 entity
Predicate locatedInSettlement P21214 FINISHED
Object Griggstown E784424 NE 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: Griggstown | Statement: [Griggstown Schoolhouse, locatedInSettlement, Griggstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griggstown
Context triple: [Griggstown Schoolhouse, locatedInSettlement, Griggstown]
  • A. Griggstown chosen
    Griggstown is a small unincorporated community in Franklin Township, Somerset County, New Jersey, known for its historic rural character along the Delaware and Raritan Canal.
  • B. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • C. Stewartstown
    Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
  • D. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • E. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31d91d48190b8b8874e09c84404 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d336a081909c092230e4a46f4e completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.