Triple

T36213990
Position Surface form Disambiguated ID Type / Status
Subject Vintry E1047636 entity
Predicate hasCivicHead P123058 FINISHED
Object Alderman of Vintry
The Alderman of Vintry is the elected senior representative responsible for governing the Vintry ward within the City of London Corporation.
 E2173479 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: Alderman of Vintry | Statement: [Vintry, hasCivicHead, Alderman of Vintry]
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: Alderman of Vintry
Triple: [Vintry, hasCivicHead, Alderman of Vintry]
Generated description
The Alderman of Vintry is the elected senior representative responsible for governing the Vintry ward within the City of London Corporation.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCivicHead
Context triple: [Vintry, hasCivicHead, Alderman of Vintry]
  • A. hasCivicLeader
    Indicates that an entity serves as the civic leader (such as a mayor or equivalent public official) of another entity, typically a city or municipality.
  • B. hasHeadOfLocalGovernment chosen
    Indicates that an administrative area is associated with the person who serves as its chief local government official.
  • C. hasCivicFunction
    Indicates that an entity performs, is responsible for, or is associated with an official public or civic role, duty, or service.
  • D. hasCivicElements
    Indicates that something includes or involves aspects related to civic life, responsibilities, or public affairs.
  • E. hasMayor
    Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
  • 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_69f76e4214748190a76c986d2a1838c2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3934275180819091b3d8f65939f31a completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a39381ff3d08190971a844b1a23623f completed June 22, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39392c010c8190b31cce261ba6c21c completed June 22, 2026, 1:31 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:09 p.m.