Triple

T13048482
Position Surface form Disambiguated ID Type / Status
Subject Condroz E327385 entity
Predicate containsSettlement P847 FINISHED
Object Philippeville E715884 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: Philippeville | Statement: [Condroz, containsSettlement, Philippeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippeville
Context triple: [Condroz, containsSettlement, Philippeville]
  • A. Philippeville chosen
    Philippeville is a historic town in southern Belgium known for its former fortress and location in the Walloon region.
  • B. Philippeville
    Philippeville is a coastal city in northeastern Algeria, historically known for its role in the Algerian War of Independence and now officially called Skikda.
  • C. Ribeauville
    Ribeauville is a small French commune located in northern France within the administrative area of the Nord department.
  • D. Franceville
    Franceville is one of the largest cities in Gabon, serving as a major economic and administrative center in the country’s southeastern region.
  • E. Franconville
    Franconville is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.