Triple

T8995963
Position Surface form Disambiguated ID Type / Status
Subject Coburg E214909 entity
Predicate twinTown P1072 FINISHED
Object Latina E67520 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: Latina | Statement: [Coburg, twinTown, Latina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latina
Context triple: [Coburg, twinTown, Latina]
  • A. Latina chosen
    Latina is a modern Italian city in the Lazio region, known for its rationalist architecture and origins as a planned town founded during the Fascist era.
  • B. Latina
    Latina is a large, historic district in southwestern Madrid known for its traditional neighborhoods, lively tapas scene, and extensive green areas.
  • C. Latina
    "Latina" is a genre-blending music album by Galician bagpiper and pianist Cristina Pato that explores Latin and world music influences through innovative arrangements.
  • D. Parlatino
    Parlatino is a regional parliamentary organization that brings together the legislative bodies of Latin American countries to promote political integration, democracy, and cooperation across the region.
  • E. Latins
    The Latins were an ancient Italic people of central Italy whose language and culture formed the basis of Latin and the later Roman civilization.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.