Triple

T7503836
Position Surface form Disambiguated ID Type / Status
Subject Wolfgang, Count Palatine of Zweibrücken E177334 entity
Predicate territoryRuled P3022 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: [Wolfgang, Count Palatine of Zweibrücken, territoryRuled, Zweibrücken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zweibrücken
Context triple: [Wolfgang, Count Palatine of Zweibrücken, territoryRuled, 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. Sulzheim
    Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • D. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • E. 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.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c937a70a94819090ff91dfa463682b completed March 29, 2026, 2:31 p.m.
Created at: March 27, 2026, 3:44 p.m.