Triple

T20215045
Position Surface form Disambiguated ID Type / Status
Subject Evasion Mont-Blanc E493595 entity
Predicate hasResort P4287 FINISHED
Object Cordon NE NERFINISHED

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: Cordon | Statement: [Evasion Mont-Blanc, hasResort, Cordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cordon
Context triple: [Evasion Mont-Blanc, hasResort, Cordon]
  • A. Cordon chosen
    Cordon is a picturesque alpine village in southeastern France known for its traditional Savoyard character and panoramic views of Mont Blanc.
  • B. Cordon
    Cordon is a municipality in the province of Isabela in the Philippines, known as a gateway to the Cagayan Valley region.
  • C. Kordon
    Kordon is a famous seafront promenade and social hub in İzmir, Turkey, known for its scenic views, cafes, and lively atmosphere along the Aegean coast.
  • D. Alsancak Kordon
    Alsancak Kordon is a popular seafront promenade and social hub in İzmir’s Alsancak district, known for its scenic Aegean views, cafes, and vibrant nightlife.
  • E. Bandhagen
    Bandhagen is a residential district in southern Stockholm, Sweden, known for its post-war housing and proximity to the city’s metro network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8101081908e53a8bde48624b1 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.