Triple

T25002499
Position Surface form Disambiguated ID Type / Status
Subject Radway E625750 entity
Predicate nearbyParish P108255 FINISHED
Object Ratley and Upton
Ratley and Upton is a small civil parish in Warwickshire, England, comprising the rural villages of Ratley and Upton.
E1659533 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: Ratley and Upton | Statement: [Radway, nearbyParish, Ratley and Upton]
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: Ratley and Upton
Triple: [Radway, nearbyParish, Ratley and Upton]
Generated description
Ratley and Upton is a small civil parish in Warwickshire, England, comprising the rural villages of Ratley and Upton.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyParish
Context triple: [Radway, nearbyParish, Ratley and Upton]
  • A. nearParish chosen
    Indicates that one entity is geographically close to or in the vicinity of a specified parish.
  • B. hasNeighbouringParish
    Indicates that one parish is directly adjacent to or borders another parish geographically.
  • C. civilParishIn
    Indicates that a civil parish is located within or administratively belongs to a specified larger geographic or governmental area.
  • D. parish
    Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
  • E. civilParishFor
    Indicates that one entity is the civil parish to which another entity (such as a place or administrative area) belongs or is assigned.
  • 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10337130b081909d2786694d821e1a completed May 22, 2026, 10:44 a.m.
NEDg Description generation batch_6a103422072c8190949546db07c0b9bd completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a10351c0c0081909453f67b06668188 completed May 22, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
Created at: April 18, 2026, 6:05 a.m.