Triple

T15111051
Position Surface form Disambiguated ID Type / Status
Subject Windham Region E360911 entity
Predicate contains P35 FINISHED
Object Whitingham E438707 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: Whitingham | Statement: [Windham Region, contains, Whitingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitingham
Context triple: [Windham Region, contains, Whitingham]
  • A. Whitingham, Vermont chosen
    Whitingham, Vermont is a small rural town in southern Vermont known for its scenic landscapes and historic New England character.
  • B. Whittingham
    Whittingham is a rural locality within Singleton Shire in New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • C. Sandown, New Hampshire
    Sandown, New Hampshire is a small New England town in Rockingham County known for its rural character and historic charm.
  • D. Middletown Springs
    Middletown Springs is a small rural town in southwestern Vermont known for its historic mineral springs and scenic, hilly landscape.
  • E. Waterville Valley, New Hampshire
    Waterville Valley, New Hampshire is a small resort town in the White Mountains known for its ski area, outdoor recreation, and tourism-centered community.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eb139c8190b76393e4a8be576b completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.