Triple

T17702683
Position Surface form Disambiguated ID Type / Status
Subject Polytechnique E441346 entity
Predicate productionCompany P490 FINISHED
Object Micro_Scope 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: Micro_Scope | Statement: [Polytechnique, productionCompany, Micro_Scope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micro_Scope
Context triple: [Polytechnique, productionCompany, Micro_Scope]
  • A. micro_scope chosen
    micro_scope is a Canadian film production company known for producing acclaimed independent and auteur-driven films.
  • B. MCRO
    MCRO is the stock ticker symbol for Micro Focus International, a British multinational software and information technology company known for enterprise software solutions.
  • C. MICRO
    MICRO is a leading annual international conference focused on microarchitecture and advanced computer architecture research.
  • D. Microascales
    Microascales is an order of filamentous ascomycete fungi that includes many saprobic species and some opportunistic human and plant pathogens.
  • E. Microstrobos
    Microstrobos is a small genus of southern conifers native to former Gondwanan regions, notable for its adaptation to cool, high-rainfall environments.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.