Triple

T33961843
Position Surface form Disambiguated ID Type / Status
Subject St Andrew Undershaft E870735 entity
Predicate cityDeanery P19542 FINISHED
Object City Deanery
City Deanery is an administrative division within the Church of England responsible for overseeing a group of parishes in the historic City of London.
 E2075054 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: City Deanery | Statement: [St Andrew Undershaft, cityDeanery, City Deanery]
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: City Deanery
Triple: [St Andrew Undershaft, cityDeanery, City Deanery]
Generated description
City Deanery is an administrative division within the Church of England responsible for overseeing a group of parishes in the historic City of London.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cityDeanery
Context triple: [St Andrew Undershaft, cityDeanery, City Deanery]
  • A. deanery chosen
    Indicates that one entity serves as the deanery (administrative office or jurisdiction of a dean) responsible for or associated with another entity.
  • B. isParishSeatOf
    Indicates that a location serves as the administrative center or main seat of government for a particular parish.
  • C. archdeaconry
    Indicates that one entity holds the ecclesiastical office or jurisdiction of an archdeacon over another entity or area.
  • D. hasDeaneries
    Indicates that an institution or organization possesses one or more deaneries as part of its internal structure.
  • E. cityAuthority
    Indicates that an entity holds official governing or administrative authority over a city.
  • 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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7064e906881909c3186c646145d34 completed May 3, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689e613b48190acaa05978dd74e33 completed June 20, 2026, 12:39 p.m.
NEDg Description generation batch_6a368ae5386c8190959b35a5bc3b1458 completed June 20, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a368b6ab2f081908533468e8b52468e completed June 20, 2026, 12:45 p.m.
PD Predicate disambiguation batch_69f70100ec1c8190a6b97f50e88891f2 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:50 a.m.