Triple

T8471872
Position Surface form Disambiguated ID Type / Status
Subject Apple UniDisk 5.25 E200297 entity
Predicate marketedAs P1395 FINISHED
Object UniDisk 5.25 E200297 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: UniDisk 5.25 | Statement: [Apple UniDisk 5.25, marketedAs, UniDisk 5.25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UniDisk 5.25
Context triple: [Apple UniDisk 5.25, marketedAs, UniDisk 5.25]
  • A. Apple UniDisk 5.25 chosen
    The Apple UniDisk 5.25 is an external 5.25-inch floppy disk drive designed by Apple for use with Apple II series computers and compatible systems.
  • B. Maxtor Tower
    Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
  • C. DoubleSpace
    DoubleSpace is a disk compression utility originally developed by Microsoft for DOS to increase effective hard drive storage capacity.
  • D. Diskit
    Diskit is a remote village in India’s Ladakh region, known for its ancient Diskit Monastery and dramatic views over the Nubra Valley.
  • E. Norton Commander
    Norton Commander is a classic dual-pane file manager for DOS and Windows that became widely popular in the late 1980s and early 1990s for its efficient keyboard-driven interface and powerful file management features.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f3a81881908f20514579945ffa completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39fc9bf481908e37919b13465d18 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.