Triple

T23340032
Position Surface form Disambiguated ID Type / Status
Subject Make a Wish E591710 entity
Predicate hasMusicNumber P20452 FINISHED
Object “Paris, France” 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: “Paris, France” | Statement: [Make a Wish, hasMusicNumber, “Paris, France”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Paris, France”
Context triple: [Make a Wish, hasMusicNumber, “Paris, France”]
  • A. Paris region, France
    The Paris region in France, also known as Île-de-France, is the country’s most populous and economically significant area, centered around the capital city of Paris and encompassing its surrounding suburbs and satellite towns.
  • B. Fontainebleau, France
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • C. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • D. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • E. Paris
    "Paris" is an indie dance track by British band Friendly Fires, known for its shimmering synths, upbeat rhythm, and evocative lyrics about escape and longing.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.