Triple

T34530433
Position Surface form Disambiguated ID Type / Status
Subject Peoria Rocket E886521 entity
Predicate operatingRailroadReportingMark P18202 FINISHED
Object CRI&P
CRI&P was the reporting mark for the Chicago, Rock Island and Pacific Railroad, a major Midwestern U.S. railroad that operated numerous passenger and freight services in the 19th and 20th centuries.
E2099957 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: CRI&P | Statement: [Peoria Rocket, operatingRailroadReportingMark, CRI&P]
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: CRI&P
Triple: [Peoria Rocket, operatingRailroadReportingMark, CRI&P]
Generated description
CRI&P was the reporting mark for the Chicago, Rock Island and Pacific Railroad, a major Midwestern U.S. railroad that operated numerous passenger and freight services in the 19th and 20th centuries.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatingRailroadReportingMark
Context triple: [Peoria Rocket, operatingRailroadReportingMark, CRI&P]
  • A. railroadCodeFor chosen
    Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
  • B. railroadClass
    Indicates the classification or category of a railroad according to an established system (e.g., by size, revenue, or regulatory status).
  • C. operatedOnRailroad
    Indicates that an entity conducted operations or provided services on a railroad system.
  • D. isRegionalFreightRailroad
    Indicates that a railroad operates primarily as a freight carrier within a specific geographic region rather than on a national or long-distance network.
  • E. railCarries
    Indicates that a rail or railway system transports or conveys a specified entity from one place to another.
  • F. None of above.

Provenance (6 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_6a00bb3a6f888190b3ecd0fbc9af9b4a completed May 10, 2026, 5:07 p.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_6a00b902dbf881909e098ff102b7ea7e completed May 10, 2026, 4:57 p.m.
Created at: May 1, 2026, 2:02 a.m.