Triple

T16853219
Position Surface form Disambiguated ID Type / Status
Subject LG Wing E409723 entity
Predicate positioningSystems P106699 FINISHED
Object BDS E586560 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: BDS | Statement: [LG Wing, positioningSystems, BDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BDS
Context triple: [LG Wing, positioningSystems, BDS]
  • A. BDS
    BDS is a professional undergraduate degree in dentistry that qualifies graduates to practice as dentists.
  • B. BDS chosen
    BDS is China’s BeiDou global navigation satellite system, providing positioning, navigation, and timing services similar to GPS.
  • C. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • D. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • E. BDP
    BDP is a major international architecture and engineering firm known for designing prominent public and cultural buildings in the UK and worldwide.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37bbb80819086d844a313625cad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.