Triple

T10095190
Position Surface form Disambiguated ID Type / Status
Subject NYPD 83rd Precinct E215846 entity
Predicate hasAbbreviation P43 FINISHED
Object 83 Pct
83 Pct is the common abbreviation for the New York City Police Department’s 83rd Precinct, which serves the Bushwick neighborhood in Brooklyn.
 E841298 NE FINISHED

How this triple was built (4 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: 83 Pct | Statement: [NYPD 83rd Precinct, hasAbbreviation, 83 Pct]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 83 Pct
Context triple: [NYPD 83rd Precinct, hasAbbreviation, 83 Pct]
  • A. 79 Pct
    79 Pct is the common abbreviation for the New York City Police Department’s 79th Precinct, which serves parts of the Bedford-Stuyvesant neighborhood in Brooklyn.
  • B. 69 Pct
    69 Pct is the common shorthand for the New York City Police Department’s 69th Precinct, which serves the Canarsie neighborhood in Brooklyn.
  • C. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • D. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • E. PCTY
    PCTY is the stock ticker symbol for Paylocity, a U.S.-based provider of cloud-based payroll and human capital management software.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 83 Pct
Triple: [NYPD 83rd Precinct, hasAbbreviation, 83 Pct]
Generated description
83 Pct is the common abbreviation for the New York City Police Department’s 83rd Precinct, which serves the Bushwick neighborhood in Brooklyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 83 Pct
Target entity description: 83 Pct is the common abbreviation for the New York City Police Department’s 83rd Precinct, which serves the Bushwick neighborhood in Brooklyn.
  • A. 79 Pct
    79 Pct is the common abbreviation for the New York City Police Department’s 79th Precinct, which serves parts of the Bedford-Stuyvesant neighborhood in Brooklyn.
  • B. 69 Pct
    69 Pct is the common shorthand for the New York City Police Department’s 69th Precinct, which serves the Canarsie neighborhood in Brooklyn.
  • C. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • D. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • E. PCTY
    PCTY is the stock ticker symbol for Paylocity, a U.S.-based provider of cloud-based payroll and human capital management software.
  • F. None of above. chosen

Provenance (5 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0784c288190967d143beca32c4b completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6b8d604819094db099981219e72 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b8a728bc8190b9baf93a40c00642 completed April 5, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69d2b90a1de88190b7c8cf6356ffc376 completed April 5, 2026, 7:33 p.m.
Created at: March 30, 2026, 9:02 p.m.