Triple

T30082123
Position Surface form Disambiguated ID Type / Status
Subject Apsley railway station E764498 entity
Predicate typicalOperatorRoute P84215 FINISHED
Object London Euston – Tring
London Euston – Tring is a suburban rail service in England that runs between central London’s Euston station and the town of Tring in Hertfordshire.
 E1898498 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: London Euston – Tring | Statement: [Apsley railway station, typicalOperatorRoute, London Euston – Tring]
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: London Euston – Tring
Triple: [Apsley railway station, typicalOperatorRoute, London Euston – Tring]
Generated description
London Euston – Tring is a suburban rail service in England that runs between central London’s Euston station and the town of Tring in Hertfordshire.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: typicalOperatorRoute
Context triple: [Apsley railway station, typicalOperatorRoute, London Euston – Tring]
  • A. typicalOperatorService
    Indicates that an entity commonly performs or provides a particular operational service in a standard or expected manner.
  • B. typicalOperator
    Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
  • C. routeOperator chosen
    Indicates that an agent operates, manages, or is responsible for running a particular route or service path.
  • D. typicalOperatorType
    Indicates the usual or most common type or category of operator associated with a given entity or context.
  • E. enteredServiceWithOperator
    Indicates that an entity began operational service under the responsibility or control of a specified operator.
  • 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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a03544239d4819087b6c232d6804977 completed May 12, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27432285f48190a43cb4233283f1b2 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a2743e893708190a11e3888456906bb completed June 8, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a274507fa3c819098819c5b1c2c4133 completed June 8, 2026, 10:41 p.m.
PD Predicate disambiguation batch_6a0353d685688190b01df77fc2f62bf2 completed May 12, 2026, 4:22 p.m.
Created at: April 29, 2026, 7:03 p.m.