Triple

T10362181
Position Surface form Disambiguated ID Type / Status
Subject Northern Catalonia E244163 entity
Predicate contains P35 FINISHED
Object Port-Vendres E509178 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: Port-Vendres | Statement: [Northern Catalonia, contains, Port-Vendres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port-Vendres
Context triple: [Northern Catalonia, contains, Port-Vendres]
  • A. Port-Vendres chosen
    Port-Vendres is a Mediterranean port town in southern France’s Pyrénées-Orientales department, known for its fishing harbor, coastal scenery, and Catalan-influenced culture.
  • B. Hyères
    Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
  • C. Saint-Laurent-sur-Mer
    Saint-Laurent-sur-Mer is a coastal commune in Normandy, France, historically significant for its location at the heart of the D-Day landings during World War II.
  • D. Banyuls-sur-Mer
    Banyuls-sur-Mer is a coastal town in southern France near the Spanish border, known for its Mediterranean beaches, terraced vineyards, and sweet Banyuls wine.
  • E. Dives-sur-Mer
    Dives-sur-Mer is a coastal commune in northwestern France, known for its historic harbor linked to William the Conqueror’s 1066 expedition to England.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953205cc8190ad7f28a7436049bc completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:59 a.m.