Triple

T868616
Position Surface form Disambiguated ID Type / Status
Subject ISO 9660 E18760 entity
Predicate extendedBy P9926 FINISHED
Object El Torito E100897 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: El Torito | Statement: [ISO 9660, extendedBy, El Torito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Torito
Context triple: [ISO 9660, extendedBy, El Torito]
  • A. El Torito chosen
    El Torito is a bootable CD-ROM specification that extends the ISO 9660 standard to allow computers to boot directly from optical discs.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Tobalaba
    Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
  • D. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • E. Wonko the Sane
    Wonko the Sane is an eccentric Californian marine biologist from Douglas Adams' Hitchhiker's Guide series, known for building an inside-out asylum called the Outside of the Asylum to cope with the world's madness.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7f98908190883f71049092c7c8 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84dcf748190b20372fdc48d6766 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.