Triple

T34530524
Position Surface form Disambiguated ID Type / Status
Subject Metra fare zone H E886523 entity
Predicate fareDifferentiationFrom P179280 FINISHED
Object Metra fare zone A
Metra fare zone A is the innermost and typically central fare zone in the Metra commuter rail system, generally covering downtown Chicago terminals and nearby stations.
 E2099960 NE FINISHED

How this triple was built (3 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: Metra fare zone A | Statement: [Metra fare zone H, fareDifferentiationFrom, Metra fare zone A]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metra fare zone A
Triple: [Metra fare zone H, fareDifferentiationFrom, Metra fare zone A]
Generated description
Metra fare zone A is the innermost and typically central fare zone in the Metra commuter rail system, generally covering downtown Chicago terminals and nearby stations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fareDifferentiationFrom
Context triple: [Metra fare zone H, fareDifferentiationFrom, Metra fare zone A]
  • A. fareType
    Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
  • B. fareTypes
    Indicates the categories or kinds of fares (e.g., ticket or pricing options) that apply to a given travel or service offering.
  • C. fareBasis
    Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
  • D. fareContext
    Indicates the pricing or fare-related conditions under which a transaction, service, or travel arrangement is applied.
  • E. fareModel
    Indicates a pricing relationship where a specific fare structure, rule set, or calculation method is applied to determine the cost of a trip or service.
  • F. None of above. chosen

Provenance (7 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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7201e241c819092d56a7bb99dc94d completed May 3, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729ead1688190bb170335bf332fff completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a8e056881909b8fdd400686cd85 completed June 21, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a372cee72ac81909f21d86ec09a9e24 completed June 21, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
PDg Predicate description generation batch_69f71f8df5d48190944fbfbd9d573868 completed May 3, 2026, 10:12 a.m.
Created at: May 1, 2026, 2:02 a.m.