Triple

T15281202
Position Surface form Disambiguated ID Type / Status
Subject Allegany Reservation E365274 entity
Predicate containsSettlement P847 FINISHED
Object Jimersontown E1148589 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: Jimersontown | Statement: [Allegany Reservation, containsSettlement, Jimersontown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimersontown
Context triple: [Allegany Reservation, containsSettlement, Jimersontown]
  • A. Jimersontown chosen
    Jimersontown is a small community that serves as the administrative center of the Allegany Reservation of the Seneca Nation in New York.
  • B. Scotchtown
    Scotchtown is a historic 18th-century plantation in Hanover County, Virginia, best known as the longtime home of American patriot Patrick Henry.
  • C. Scotchtown
    Scotchtown is a small community located on Cape Breton Island in Nova Scotia, Canada.
  • D. Martintown
    Martintown is a small rural community located within the Township of South Glengarry in eastern Ontario, Canada.
  • E. Stewartstown
    Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef8982bc881908a33ad27ce0ff091 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.