Triple

T3030043
Position Surface form Disambiguated ID Type / Status
Subject Nambour E82871 entity
Predicate nearbyLocality P4647 FINISHED
Object Burnside E117608 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: Burnside | Statement: [Nambour, nearbyLocality, Burnside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnside
Context triple: [Nambour, nearbyLocality, Burnside]
  • A. Burnside chosen
    Burnside is a surname of English and Scottish origin borne by various notable individuals, including Australian barrister and human rights advocate Julian Burnside.
  • B. Sherman
    Sherman is a city in north-central Texas that serves as a regional hub for commerce and transportation in the Texoma area.
  • C. Burnside Bridge
    Burnside Bridge is a historic bascule bridge over the Willamette River in Portland, Oregon, carrying one of the city’s major east–west thoroughfares.
  • D. Burnside Bridge
    Burnside Bridge is a historic stone arch bridge in Maryland best known as a focal point of intense fighting during the American Civil War’s Battle of Antietam.
  • E. Macdonough
    Macdonough is a surname most notably associated with Thomas Macdonough, a distinguished early 19th-century U.S. naval officer and War of 1812 hero.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aecd384819085d15f701add7c44 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.