Triple

T33991047
Position Surface form Disambiguated ID Type / Status
Subject Wiltshire Police E871543 entity
Predicate policesTown P185981 FINISHED
Object Salisbury
Salisbury is a historic cathedral city in Wiltshire, England, best known for its medieval Salisbury Cathedral and proximity to the prehistoric monument of Stonehenge.
 E87538 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: Salisbury | Statement: [Wiltshire Police, policesTown, Salisbury]
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: Salisbury
Triple: [Wiltshire Police, policesTown, Salisbury]
Generated description
Salisbury is a historic cathedral city in Wiltshire, England, best known for its medieval Salisbury Cathedral and proximity to the prehistoric monument of Stonehenge.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: policesTown
Context triple: [Wiltshire Police, policesTown, Salisbury]
  • A. policesCity
    Indicates that one entity is responsible for providing law enforcement or policing services within a particular city.
  • B. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • C. hasPoliceDepartment
    Indicates that an entity possesses, is served by, or is administratively associated with a police department.
  • D. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • E. policeSystem
    Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
  • 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_69f3499e964c8190b674b03f6f791b4b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3692e16034819090f920eb4f21f85e completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a3693978aa881909be8384c3d62bc33 completed June 20, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a3694b83d048190a29c179e9407f41f completed June 20, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: May 1, 2026, 1:50 a.m.