Triple

T12002090
Position Surface form Disambiguated ID Type / Status
Subject Thurgau E285688 entity
Predicate hasMunicipality P847 FINISHED
Object Frauenfeld E613708 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: Frauenfeld | Statement: [Thurgau, hasMunicipality, Frauenfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frauenfeld
Context triple: [Thurgau, hasMunicipality, Frauenfeld]
  • A. Frauenfeld chosen
    Frauenfeld is the capital city of the canton of Thurgau in northeastern Switzerland, known for its historic old town and annual open-air music festival.
  • B. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • C. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • D. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • E. Sulzach
    Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e94b6008190ae19c245c4c62b5e completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:46 p.m.