Triple

T16371223
Position Surface form Disambiguated ID Type / Status
Subject The Touch of Your Lips E397567 entity
Predicate recordedAt P7677 FINISHED
Object Copenhagen, Denmark E12606 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: Copenhagen, Denmark | Statement: [The Touch of Your Lips, recordedAt, Copenhagen, Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen, Denmark
Context triple: [The Touch of Your Lips, recordedAt, Copenhagen, Denmark]
  • A. Copenhagen chosen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • B. Copenhagen
    Copenhagen is a popular American smokeless tobacco (chewing tobacco/dip) brand known for its long history and strong presence in the U.S. market.
  • C. Frederiksberg, Denmark
    Frederiksberg, Denmark is an affluent, centrally located municipality within the Copenhagen urban area, known for its green parks, cultural institutions, and residential character.
  • D. Bergen, Denmark
    Bergen, Denmark is a small Danish town known for its rural character and cultural ties to its German twin town, Bergen.
  • E. Valby, Copenhagen, Denmark
    Valby is a district in the southwestern part of Copenhagen, Denmark, known for its mix of residential areas, green spaces, and its historic association with the Danish film industry.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc44c508190bf87b437d1447db6 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.