Triple

T25777509
Position Surface form Disambiguated ID Type / Status
Subject Ashby Canal E649192 entity
Predicate hasRestorationBody P141552 FINISHED
Object Ashby Canal Association
The Ashby Canal Association is a volunteer-led charity dedicated to preserving, promoting, and restoring the historic Ashby Canal in England.
 E1695558 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: Ashby Canal Association | Statement: [Ashby Canal, hasRestorationBody, Ashby Canal Association]
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: Ashby Canal Association
Triple: [Ashby Canal, hasRestorationBody, Ashby Canal Association]
Generated description
The Ashby Canal Association is a volunteer-led charity dedicated to preserving, promoting, and restoring the historic Ashby Canal in England.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRestorationBody
Context triple: [Ashby Canal, hasRestorationBody, Ashby Canal Association]
  • A. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • B. hasUseAfterRestoration
    Indicates that an entity is used or has a function specifically after it has been restored or repaired.
  • C. hasRestorationGroup chosen
    Indicates that an entity is associated with a group responsible for its repair, conservation, or restoration.
  • D. hasBeenRestored
    Indicates that an entity has been returned to a previous or original state after damage, loss, or alteration.
  • E. hasRestorationApproach
    Indicates the method or strategy used to restore or rehabilitate something to a desired state.
  • 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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc2381708190a6c4b1e15bfee4dc completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10ccedad64819080986fe4cae5a969 completed May 22, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10ce00cda08190a1534b9ce1cf896a completed May 22, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: April 22, 2026, 5:35 a.m.