Triple

T27855718
Position Surface form Disambiguated ID Type / Status
Subject Haddenham and Thame Parkway E704077 entity
Predicate hasBusLinkTo P132153 FINISHED
Object Thame town centre
Thame town centre is the historic commercial and social heart of the Oxfordshire market town of Thame, featuring shops, services, and local amenities.
 E1792446 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: Thame town centre | Statement: [Haddenham and Thame Parkway, hasBusLinkTo, Thame town centre]
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: Thame town centre
Triple: [Haddenham and Thame Parkway, hasBusLinkTo, Thame town centre]
Generated description
Thame town centre is the historic commercial and social heart of the Oxfordshire market town of Thame, featuring shops, services, and local amenities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBusLinkTo
Context triple: [Haddenham and Thame Parkway, hasBusLinkTo, Thame town centre]
  • A. isTransportationLinkBetween chosen
    Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
  • B. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • C. hasTransportationRelation
    Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
  • D. hasBusLoop
    Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
  • E. hasBusOperator
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f7401a348190af83908771fb4d05 completed May 24, 2026, 1:04 p.m.
NEDg Description generation batch_6a12fbb95ea08190ad8b6506e24fddbf completed May 24, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_6a12fcaddb648190ac6168173e7942b3 completed May 24, 2026, 1:27 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 27, 2026, 6:14 p.m.