Triple

T23518959
Position Surface form Disambiguated ID Type / Status
Subject MKS E574448 entity
Predicate hasExchangeMIC P524 FINISHED
Object XLON 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: XLON | Statement: [MKS, hasExchangeMIC, XLON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XLON
Context triple: [MKS, hasExchangeMIC, XLON]
  • A. XLON chosen
    XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
  • B. YXL
    YXL is the IATA airport code for Sioux Lookout Airport in Ontario, Canada.
  • C. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • D. XRL
    XRL is a high-speed rail line connecting Guangzhou, Shenzhen, and Hong Kong, forming a key part of China’s national high-speed railway network.
  • E. XL
    XL is a prominent British independent record label known for releasing influential alternative, electronic, and indie music from artists such as Radiohead, The Prodigy, and Adele.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa84fe7c8190aa1078a118af7d61 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.