Triple

T19402561
Position Surface form Disambiguated ID Type / Status
Subject Meredith E485364 entity
Predicate adjacentTo P224 FINISHED
Object Sanbornton 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: Sanbornton | Statement: [Meredith, adjacentTo, Sanbornton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanbornton
Context triple: [Meredith, adjacentTo, Sanbornton]
  • A. Sanbornton, New Hampshire chosen
    Sanbornton, New Hampshire is a small rural town in central New Hampshire known for its historic character and scenic location near Lake Winnisquam.
  • B. Moultonborough
    Moultonborough is a small town in Carroll County, New Hampshire, known for its scenic lakeside setting, historic sites, and outdoor recreation opportunities in the Lakes Region.
  • C. Wolfeboro
    Wolfeboro is a historic resort town in New Hampshire often called "the oldest summer resort in America," known for its scenic setting on the shores of Lake Winnipesaukee.
  • D. Petersboro
    Petersboro is a small unincorporated community in northern Utah, located in Cache County within the Cache Valley region.
  • E. Lempster, New Hampshire
    Lempster, New Hampshire is a small rural town in western New Hampshire known for its scenic landscape and early adoption of wind power through one of the state’s first commercial wind farms.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.