Triple

T6807268
Position Surface form Disambiguated ID Type / Status
Subject Waiblingen E156338 entity
Predicate hasTwinTown P919 FINISHED
Object Sète, France E157839 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: Sète, France | Statement: [Waiblingen, hasTwinTown, Sète, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sète, France
Context triple: [Waiblingen, hasTwinTown, Sète, France]
  • A. Sète chosen
    Sète is a coastal port city in southern France known for its canals, fishing industry, and vibrant maritime culture on the Mediterranean Sea.
  • B. La Grande-Motte
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • C. La Ciotat
    La Ciotat is a coastal town on the Mediterranean in southern France, known for its historic shipyards and as one of the birthplaces of early cinema through the Lumière brothers’ pioneering films.
  • D. Marignane, France
    Marignane, France is a commune in the Bouches-du-Rhône department in southern France, known as a major hub of the aerospace and helicopter industry.
  • E. Port Vendres, France
    Port Vendres, France is a Mediterranean port town in the Pyrénées-Orientales department of southern France, known for its picturesque harbor and as a retreat for artists and travelers.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa27cec81909f45911ffa44ea6f completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.