Triple

T4255582
Position Surface form Disambiguated ID Type / Status
Subject Sierre E95964 entity
Predicate hasTwinTown P919 FINISHED
Object Zweibrücken E235546 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: Zweibrücken | Statement: [Sierre, hasTwinTown, Zweibrücken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zweibrücken
Context triple: [Sierre, hasTwinTown, Zweibrücken]
  • A. Zweibrücken chosen
    Zweibrücken is a historic town in southwestern Germany, known for its former ducal residence, rose garden, and role as the namesake seat of the House of Palatinate-Zweibrücken.
  • B. Lahr
    Lahr is a town in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River opposite Strasbourg and known for its historic center and proximity to the Black Forest.
  • C. Saarbrücken
    Saarbrücken is a German city on the Saar River known as an industrial, cultural, and educational center near the French border.
  • D. Schlettstadt
    Schlettstadt, now known as Sélestat, is a historic town in the Alsace region of northeastern France noted for its medieval architecture and humanist heritage.
  • E. Kleve
    Kleve is a historic town in western Germany near the Dutch border, known for its medieval castle and role as the former capital of the Duchy of Cleves.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78422a88190a67921ee38638ac8 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.