Triple

T24829118
Position Surface form Disambiguated ID Type / Status
Subject Norwood, New Jersey E621280 entity
Predicate hasLocalPolice P13246 FINISHED
Object Norwood Police Department
The Norwood Police Department is the municipal law enforcement agency responsible for public safety and policing services in Norwood, New Jersey.
 E1650371 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: Norwood Police Department | Statement: [Norwood, New Jersey, hasLocalPolice, Norwood Police Department]
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: Norwood Police Department
Triple: [Norwood, New Jersey, hasLocalPolice, Norwood Police Department]
Generated description
The Norwood Police Department is the municipal law enforcement agency responsible for public safety and policing services in Norwood, New Jersey.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLocalPolice
Context triple: [Norwood, New Jersey, hasLocalPolice, Norwood Police Department]
  • A. hasOwnPoliceForce
    Indicates that an entity maintains and controls its own dedicated police force or law enforcement agency.
  • B. hasPoliceDepartment chosen
    Indicates that an entity possesses, is served by, or is administratively associated with a police department.
  • C. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • D. hasPoliceStationsIn
    Indicates that one entity possesses, manages, or contains one or more police stations located within the area or jurisdiction of another entity.
  • E. policePresence
    Indicates that law enforcement officers are present at or monitoring a particular location, event, or situation.
  • 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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c4466a8819098b66c82760b1e83 completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a102556db288190b407a7e8201078f7 completed May 22, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_6a1025def5448190a78ff2b195e75c7f completed May 22, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 5:09 a.m.