Triple

T16236779
Position Surface form Disambiguated ID Type / Status
Subject Radès E394133 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Radès Méliane E394133 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: Radès Méliane | Statement: [Radès, hasNeighbourhood, Radès Méliane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radès Méliane
Context triple: [Radès, hasNeighbourhood, Radès Méliane]
  • A. Hamma Bouziane
    Hamma Bouziane is a town and commune located in Constantine Province in northeastern Algeria.
  • B. Radès chosen
    Radès is a coastal city in northern Tunisia known for its major sports facilities, including the national stadium that hosts prominent football clubs and international events.
  • C. Rabaut Saint-Étienne
    Rabaut Saint-Étienne was an 18th-century French Protestant pastor and revolutionary politician who played a significant role in advocating religious tolerance during the French Revolution.
  • D. Mendès France
    Mendès France is the surname of Pierre Mendès France, a prominent 20th-century French politician and former Prime Minister known for his reformist and decolonization policies.
  • E. Étienne Marcel
    Étienne Marcel is a Paris Métro station in the city center, named after the 14th-century provost of the merchants of Paris and serving the busy Les Halles area.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed8cbe48190be68ccade55211ad completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.