Triple

T18016698
Position Surface form Disambiguated ID Type / Status
Subject XLA E431013 entity
Predicate targetsHardware P55922 FINISHED
Object TPU 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: TPU | Statement: [XLA, targetsHardware, TPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TPU
Context triple: [XLA, targetsHardware, TPU]
  • A. TPU chosen
    A TPU (Tensor Processing Unit) is a specialized hardware accelerator designed by Google to efficiently perform large-scale machine learning and deep learning computations.
  • B. TPU
    TPU is a common abbreviation used by the U.S. Army Reserve to refer to its Troop Program Units, which are reserve units that train regularly but are not on active duty.
  • C. TPE
    TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • D. Estane TPU for footwear
    Estane TPU for footwear is a specialized thermoplastic polyurethane grade engineered to provide durable, flexible, and comfortable performance in shoe components such as soles and uppers.
  • E. Estane TPU for adhesives
    Estane TPU for adhesives is a thermoplastic polyurethane formulation engineered to provide strong, flexible, and durable bonding performance in adhesive applications.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9be5d0c819097e006f32d98753a completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.