Triple

T29370565
Position Surface form Disambiguated ID Type / Status
Subject Sarah Linden E744840 entity
Predicate policeDepartmentDivision P174711 FINISHED
Object Homicide division
The Homicide division is a specialized police unit responsible for investigating deaths suspected to be murders.
 E959323 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: Homicide division | Statement: [Sarah Linden, policeDepartmentDivision, Homicide division]
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: Homicide division
Triple: [Sarah Linden, policeDepartmentDivision, Homicide division]
Generated description
The Homicide division is a specialized police unit responsible for investigating deaths suspected to be murders.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: policeDepartmentDivision
Context triple: [Sarah Linden, policeDepartmentDivision, Homicide division]
  • A. policeDepartmentType
    Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
  • B. policeBorough
    Indicates that a police force, unit, or station has jurisdiction over or is associated with a specific borough.
  • C. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • D. cityDepartment
    Indicates that one entity is a department that operates within, or is administratively part of, a particular city.
  • E. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • 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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6c5b7e46081909975b05f7298cc0e completed May 3, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25c1022770819098cda3c8420440a0 completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c545c54081909763d007a604877e completed June 7, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a25c98658cc8190a3776dc98bf9bd8c completed June 7, 2026, 7:41 p.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
PDg Predicate description generation batch_69f6c49069e48190a3486b6254a6645b completed May 3, 2026, 3:44 a.m.
Created at: April 28, 2026, 2:26 p.m.