Triple

T27856360
Position Surface form Disambiguated ID Type / Status
Subject Ewelme E704097 entity
Predicate hasAlmshouses P40332 FINISHED
Object Ewelme Almshouses
Ewelme Almshouses are a historic 15th-century charitable housing complex in Ewelme, Oxfordshire, founded by Alice de la Pole, granddaughter of Geoffrey Chaucer, to provide accommodation for poor and elderly residents.
 E1792465 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: Ewelme Almshouses | Statement: [Ewelme, hasAlmshouses, Ewelme Almshouses]
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: Ewelme Almshouses
Triple: [Ewelme, hasAlmshouses, Ewelme Almshouses]
Generated description
Ewelme Almshouses are a historic 15th-century charitable housing complex in Ewelme, Oxfordshire, founded by Alice de la Pole, granddaughter of Geoffrey Chaucer, to provide accommodation for poor and elderly residents.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAlmshouses
Context triple: [Ewelme, hasAlmshouses, Ewelme Almshouses]
  • A. hasParishHouse
    Indicates that a church or parish entity possesses or is associated with a specific parish house building.
  • B. hasHouses chosen
    Indicates that one entity possesses, controls, or contains one or more houses in relation to another entity or context.
  • C. hasClergyResidence
    Indicates that a location serves as a residence for clergy associated with a religious institution.
  • D. hasPublicHouse
    Indicates that one entity possesses, operates, or is associated with a public house (such as a bar or pub) as part of its facilities or holdings.
  • E. hasPublicHousing
    Indicates that a location or jurisdiction provides or contains government-funded residential housing available to the public.
  • 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_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.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_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 27, 2026, 6:14 p.m.