Triple

T10721224
Position Surface form Disambiguated ID Type / Status
Subject Flag of Büllingen E252825 entity
Predicate administrativeTerritory P8215 FINISHED
Object Büllingen E51882 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: Büllingen | Statement: [Flag of Büllingen, administrativeTerritory, Büllingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Büllingen
Context triple: [Flag of Büllingen, administrativeTerritory, Büllingen]
  • A. Büllingen chosen
    Büllingen is a municipality in eastern Belgium’s German-speaking Community, known for its rural landscape and proximity to the historically significant Elsenborn Ridge.
  • B. Bissingen
    Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • C. Ettlingen
    Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
  • D. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • E. Deggingen
    Deggingen is a small municipality in the German state of Baden-Württemberg, situated in the Swabian Jura and known for its scenic valley setting along the Fils River.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d43655081909b071100c96cb4f6 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb08d63d481908ab1d5038424dab6 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:13 p.m.