Triple

T16153496
Position Surface form Disambiguated ID Type / Status
Subject Fujinomiya E391972 entity
Predicate sisterCity P1072 FINISHED
Object Karlsbad, Germany E852063 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: Karlsbad, Germany | Statement: [Fujinomiya, sisterCity, Karlsbad, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlsbad, Germany
Context triple: [Fujinomiya, sisterCity, Karlsbad, Germany]
  • A. Carlsbad, Czech Republic chosen
    Carlsbad, Czech Republic (Karlovy Vary) is a historic spa city in western Bohemia renowned for its hot mineral springs, grand colonnades, and international film festival.
  • B. Donauwörth, Germany
    Donauwörth, Germany is a Bavarian town on the Danube River known as a regional industrial hub and major site of helicopter production.
  • C. Straubing, Germany
    Straubing, Germany is a historic city in Lower Bavaria known for its medieval town center, annual Gäubodenvolksfest fair, and strong ice hockey culture.
  • D. Baden, Germany
    Baden, Germany is a historical region in southwestern Germany, formerly a grand duchy, known for its spa towns, wine-growing areas, and location along the Rhine.
  • E. Wigratzbad
    Wigratzbad is a small Bavarian village in Germany known as a Catholic pilgrimage site and as the location of the International Seminary of St. Peter.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.