Triple

T3443661
Position Surface form Disambiguated ID Type / Status
Subject Braunschweig E72622 entity
Predicate twinTown P1072 FINISHED
Object Sousse E132805 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: Sousse | Statement: [Braunschweig, twinTown, Sousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sousse
Context triple: [Braunschweig, twinTown, Sousse]
  • A. Sousse chosen
    Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
  • B. Hammamet
    Hammamet is a popular Tunisian coastal resort town on the Mediterranean Sea, known for its beaches, tourism, and historic medina.
  • C. Sfax
    Sfax is a major port city on Tunisia’s eastern coast, known as an economic hub and a significant center of political activism during the Tunisian Revolution.
  • D. Mahdia
    Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
  • E. Houmt Souk
    Houmt Souk is the main town of the Tunisian island of Djerba, known for its traditional markets, whitewashed architecture, and historic role as a Mediterranean trading hub.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a531348190951041705eebba3d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:16 p.m.