Triple

T9697096
Position Surface form Disambiguated ID Type / Status
Subject Camperdown E234680 entity
Predicate adjacentTo P224 FINISHED
Object Annandale E32577 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: Annandale | Statement: [Camperdown, adjacentTo, Annandale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annandale
Context triple: [Camperdown, adjacentTo, Annandale]
  • A. Annandale chosen
    Annandale is a suburban community in Fairfax County, Virginia, known for its diverse population and vibrant Korean-American businesses and restaurants.
  • B. Annandale
    Annandale is a historic valley and district in southern Scotland, known for following the course of the River Annan through Dumfriesshire.
  • C. Lorton
    Lorton is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, proximity to major transportation routes, and redevelopment of the former Lorton Reformatory site.
  • D. Lorton
    Lorton is a small village and civil parish in Cumbria, England, situated in the scenic Lake District near the town of Cockermouth.
  • E. Spotswood
    Spotswood is a small borough in central New Jersey known for its suburban residential character and local community atmosphere.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3a88788190a4235a1ab33341ec completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f7cecd0819081929611b7881102 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:18 p.m.