Triple

T26675748
Position Surface form Disambiguated ID Type / Status
Subject parish of St Olave, Southwark E672449 entity
Predicate hadWorkhouse P161109 FINISHED
Object St Olave’s workhouse
St Olave’s workhouse was a parish poorhouse in Southwark, London, that housed and provided basic relief for the local poor before the modern welfare system.
 E1736164 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: St Olave’s workhouse | Statement: [parish of St Olave, Southwark, hadWorkhouse, St Olave’s workhouse]
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: St Olave’s workhouse
Triple: [parish of St Olave, Southwark, hadWorkhouse, St Olave’s workhouse]
Generated description
St Olave’s workhouse was a parish poorhouse in Southwark, London, that housed and provided basic relief for the local poor before the modern welfare system.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadWorkhouse
Context triple: [parish of St Olave, Southwark, hadWorkhouse, St Olave’s workhouse]
  • A. housedWorkBy
    Indicates that one entity serves as the location or repository where a work created by another entity is kept or displayed.
  • B. hadMeetingHouse
    Indicates that an entity possessed or was associated with a specific meeting house as a place for gatherings or assemblies.
  • C. wonWork
    Indicates that one party has successfully secured or been awarded a particular job, contract, or work opportunity over others.
  • D. performedLabourAt
    Indicates that an entity carried out work or labor activities at a specific place or organization.
  • E. hadKontorIn
    Indicates that an entity maintained or operated a commercial office or trading post in a specified location.
  • F. None of above. chosen

Provenance (7 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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f61702ad548190bbc5995748b3ffd2 completed May 2, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec54ac2c8190b119fa1e0e2cf004 completed May 23, 2026, 6:05 p.m.
NEDg Description generation batch_6a11f1a6a8748190a66fd0d4585bedc9 completed May 23, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a11f246b93c8190a37f5821323f643f completed May 23, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
PDg Predicate description generation batch_69f60f24ed608190bffe6c6084fc2f7a completed May 2, 2026, 2:50 p.m.
Created at: April 27, 2026, 3:16 a.m.