Triple

T12342209
Position Surface form Disambiguated ID Type / Status
Subject NYPD 106th Precinct E294254 entity
Predicate hasAbbreviation P43 FINISHED
Object 106 Pct
106 Pct is the common abbreviation for the New York City Police Department’s 106th Precinct, which serves parts of Queens.
 E977952 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: 106 Pct | Statement: [NYPD 106th Precinct, hasAbbreviation, 106 Pct]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 106 Pct
Context triple: [NYPD 106th Precinct, hasAbbreviation, 106 Pct]
  • A. P66
    P66 is an early third-century Greek papyrus manuscript containing a substantial portion of the Gospel of John, significant for New Testament textual criticism.
  • B. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • C. PCTY
    PCTY is the stock ticker symbol for Paylocity, a U.S.-based provider of cloud-based payroll and human capital management software.
  • D. The Perfect Score
    The Perfect Score is a 2004 teen heist comedy film about a group of high school students who plot to steal the answers to the SAT exam.
  • E. PZB
    PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
  • 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: 106 Pct
Triple: [NYPD 106th Precinct, hasAbbreviation, 106 Pct]
Generated description
106 Pct is the common abbreviation for the New York City Police Department’s 106th Precinct, which serves parts of Queens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 106 Pct
Target entity description: 106 Pct is the common abbreviation for the New York City Police Department’s 106th Precinct, which serves parts of Queens.
  • A. P66
    P66 is an early third-century Greek papyrus manuscript containing a substantial portion of the Gospel of John, significant for New Testament textual criticism.
  • B. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • C. PCTY
    PCTY is the stock ticker symbol for Paylocity, a U.S.-based provider of cloud-based payroll and human capital management software.
  • D. The Perfect Score
    The Perfect Score is a 2004 teen heist comedy film about a group of high school students who plot to steal the answers to the SAT exam.
  • E. PZB
    PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f78a970819086beec3e4da8c49e completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aaa1d548190be065412aab70385 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.