Triple

T8079383
Position Surface form Disambiguated ID Type / Status
Subject Aurora E188575 entity
Predicate hasMunicipality P847 FINISHED
Object Baler E710471 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: Baler | Statement: [Aurora, hasMunicipality, Baler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baler
Context triple: [Aurora, hasMunicipality, Baler]
  • A. Baler chosen
    Baler is a coastal municipality in the Philippines known for its surfing beaches, historical significance, and role as the capital of the province of Aurora.
  • B. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • C. Bala
    Bala is a small community in Ontario, Canada, known for its scenic lakeside setting in the Muskoka region and its popular Bala Cranberry Festival.
  • D. Ballu
    Ballu is a French surname most notably associated with architect Albert Ballu.
  • E. Balilla
    Balilla is the nickname of Giovan Battista Perasso, a Genoese boy who became a symbol of youthful rebellion against Austrian rule in 18th-century Italy and later a fascist-era icon of nationalist youth.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93eddef48190b5f499a5b52428c8 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:28 p.m.