Triple

T4074875
Position Surface form Disambiguated ID Type / Status
Subject ARCX E86739 entity
Predicate identifies P310 FINISHED
Object NYSE Arca exchange E16764 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: NYSE Arca exchange | Statement: [ARCX, identifies, NYSE Arca exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYSE Arca exchange
Context triple: [ARCX, identifies, NYSE Arca exchange]
  • A. NYSE Arca chosen
    NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
  • B. Xetra
    Xetra is an electronic trading system operated by Deutsche Börse that serves as the primary platform for trading German and other European securities.
  • C. NASDAQ
    NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
  • D. NASDAQ MarketSite
    NASDAQ MarketSite is the iconic Times Square broadcast and marketing center of the Nasdaq stock exchange, known for its large electronic display and live market updates.
  • E. Cboe BZX Exchange
    Cboe BZX Exchange is a U.S. equities exchange operated by Cboe Global Markets, known for its electronic trading platform and competitive pricing structure.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b5c2c948190a2548e26be3eedfd completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.