Triple

T8261854
Position Surface form Disambiguated ID Type / Status
Subject Congrès mondial acadien E193212 entity
Predicate firstEditionLocation P6638 FINISHED
Object Dieppe E281863 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: Dieppe | Statement: [Congrès mondial acadien, firstEditionLocation, Dieppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dieppe
Context triple: [Congrès mondial acadien, firstEditionLocation, Dieppe]
  • A. Dieppe
    Dieppe is a historic port city and seaside resort on the English Channel in northern France, known for its pebbled beaches, cliffs, and role in maritime trade and warfare.
  • B. Dieppe chosen
    Dieppe is a rapidly growing city in southeastern New Brunswick, Canada, located next to Moncton and known for its strong Acadian culture and bilingual community.
  • C. Juno Beach
    Juno Beach was one of the primary Allied landing sectors in Normandy where Canadian forces came ashore during the D-Day invasion of World War II.
  • D. Port of Dieppe
    The Port of Dieppe is a major French English Channel harbor known for its ferry connections, fishing activities, and marina facilities serving the town of Dieppe in Normandy.
  • E. Dunker
    Dunker is the costumed racehorse mascot that represents Murray State University at its athletic events and campus activities.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.