Triple

T58048
Position Surface form Disambiguated ID Type / Status
Subject Chicago Stock Exchange E1148 entity
Predicate hasOrderTypes P1802 FINISHED
Object market orders 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: market orders | Statement: [Chicago Stock Exchange, hasOrderTypes, market orders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrderTypes
Context triple: [Chicago Stock Exchange, hasOrderTypes, market orders]
  • A. hasOrder
    Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
  • B. orderType chosen
    Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
  • C. hasOperationType
    Indicates the specific kind or category of operation associated with an entity or process.
  • D. ordersBy
    Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
  • E. hasServiceType
    Indicates that an entity is associated with or categorized by a particular type of service.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24c9057348190aa6692eeeae19569 completed Feb. 28, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a24ac7547c81909bb68f327cdb9158 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.