Triple

T4236316
Position Surface form Disambiguated ID Type / Status
Subject Canta Province E94701 entity
Predicate hasCapital P204 FINISHED
Object Canta E423737 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: Canta | Statement: [Canta Province, hasCapital, Canta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canta
Context triple: [Canta Province, hasCapital, Canta]
  • A. Canta chosen
    Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
  • B. Canzo
    Canzo is a small town in the Lombardy region of northern Italy, known for its scenic pre-Alpine setting and historic cultural traditions.
  • C. Cantate
    Cantate is a choral-orchestral composition by Igor Markevitch that showcases his distinctive modernist style and intricate vocal writing.
  • D. Canti
    Canti is a celebrated collection of lyric poems by Italian Romantic poet Giacomo Leopardi, known for its philosophical depth and melancholic reflection on the human condition.
  • E. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.