Triple

T31591653
Position Surface form Disambiguated ID Type / Status
Subject BBY E806112 entity
Predicate hasLotTradingUnit P103200 FINISHED
Object share LITERAL 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: share | Statement: [BBY, hasLotTradingUnit, share]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLotTradingUnit
Context triple: [BBY, hasLotTradingUnit, share]
  • A. tradingLotUnit chosen
    Indicates the standard unit or quantity in which an asset or security is grouped and traded as a single lot.
  • B. hasLotSize
    Indicates that an entity possesses a specific amount or extent of physical area, typically referring to the size of a parcel of land or property lot.
  • C. hasLotSizeType
    Indicates the classification or category used to describe the size of a lot or parcel.
  • D. tradingLot
    Indicates the standard quantity or size of a financial instrument or commodity that is grouped together and traded as a single unit in a market transaction.
  • E. hasUnitStructure
    Indicates that an entity possesses a specific internal organization or arrangement that defines its structural composition.
  • F. None of above.

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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: April 30, 2026, 10:28 p.m.