Triple

T31186709
Position Surface form Disambiguated ID Type / Status
Subject Ruchill E795064 entity
Predicate hasFormerSite P4380 FINISHED
Object Ruchill Hospital
Ruchill Hospital was a former infectious diseases hospital in Glasgow, Scotland, known for its role in treating epidemics in the late 19th and 20th centuries.
 E1950148 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: Ruchill Hospital | Statement: [Ruchill, hasFormerSite, Ruchill Hospital]
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: Ruchill Hospital
Triple: [Ruchill, hasFormerSite, Ruchill Hospital]
Generated description
Ruchill Hospital was a former infectious diseases hospital in Glasgow, Scotland, known for its role in treating epidemics in the late 19th and 20th centuries.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerSite
Context triple: [Ruchill, hasFormerSite, Ruchill Hospital]
  • A. formerSiteOf chosen
    Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
  • B. hasFormerHost
    Indicates that an entity previously served as the host of another entity but no longer holds that hosting role.
  • C. hasFormerVenueType
    Indicates that an entity previously had a specific type of venue, but that venue type is no longer current.
  • D. hasFormerStation
    Indicates that an entity previously had a particular station (e.g., a stop, depot, or facility) that is no longer in active use or part of its current infrastructure.
  • E. formerSiteOwner
    Indicates that one entity previously owned or controlled a particular site but no longer does so.
  • 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_69f224d675d08190957198068e440422 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29473df2b08190a84b69c7c9e20bfc completed June 10, 2026, 11:15 a.m.
NEDg Description generation batch_6a2947e26f408190a9bc961974014450 completed June 10, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a294eee82d48190a23f96b28727b881 completed June 10, 2026, 11:47 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
Created at: April 29, 2026, 9:08 p.m.