Triple

T25643164
Position Surface form Disambiguated ID Type / Status
Subject Mark Bezos E642885 entity
Predicate volunteerFor P48922 FINISHED
Object Scarsdale Fire Department
The Scarsdale Fire Department is a local fire and emergency services organization serving the community of Scarsdale, New York.
 E1688863 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: Scarsdale Fire Department | Statement: [Mark Bezos, volunteerFor, Scarsdale Fire 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: Scarsdale Fire Department
Triple: [Mark Bezos, volunteerFor, Scarsdale Fire Department]
Generated description
The Scarsdale Fire Department is a local fire and emergency services organization serving the community of Scarsdale, New York.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: volunteerFor
Context triple: [Mark Bezos, volunteerFor, Scarsdale Fire Department]
  • A. volunteeredFor chosen
    Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
  • B. usesVolunteers
    Indicates that an entity relies on or engages volunteers to perform its activities or services.
  • C. volunteerLabel
    Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
  • D. volunteerRequirement
    Indicates that an entity has a condition or obligation specifying the need for volunteers or volunteer participation.
  • E. typeOfVolunteerUnit
    Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
  • 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_69e77e7ce28081908b08d65ee6e5c8be completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5faa22e7c81908af7fe96952bebe0 completed May 2, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b78cd4f88190b541251b023f5853 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b944f90481909222fddcb76101b1 completed May 22, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9fead408190b057b07cbe4e6f73 completed May 22, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69f4807f8680819098a524158d049c63 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 5:48 p.m.