Triple

T3504138
Position Surface form Disambiguated ID Type / Status
Subject Somme E74035 entity
Predicate borderedBy P224 FINISHED
Object Nord E70209 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: Nord | Statement: [Somme, borderedBy, Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nord
Context triple: [Somme, borderedBy, Nord]
  • A. Nord chosen
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • B. Norden
    Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • C. Norden
    Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
  • D. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • E. Nordavia
    Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.