Triple

T15957040
Position Surface form Disambiguated ID Type / Status
Subject Bab Bhar E386960 entity
Predicate hasAlternativeName P39 FINISHED
Object Porte de France E1183626 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: Porte de France | Statement: [Bab Bhar, hasAlternativeName, Porte de France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porte de France
Context triple: [Bab Bhar, hasAlternativeName, Porte de France]
  • A. Porte de France chosen
    Porte de France, also known as Bab El Bhar, is a historic city gate in Tunis that once marked the boundary between the old medina and the modern European-style city.
  • B. Porte de Paris
    Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
  • C. Porte de Paris
    Porte de Paris is a historic city gate in Villeneuve-sur-Lot, France, notable for its preserved medieval architecture and role as a symbolic entrance to the old town.
  • D. Porte de Sens
    Porte de Sens is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
  • E. Porte de Bourgogne
    Porte de Bourgogne is a historic stone city gate in the medieval town of Moret-sur-Loing in north-central France.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.