Triple

T160708
Position Surface form Disambiguated ID Type / Status
Subject New York City Landmarks Preservation Commission E3277 entity
Predicate shortName P43 FINISHED
Object LPC
The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
 E19859 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: LPC | Statement: [New York City Landmarks Preservation Commission, shortName, LPC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LPC
Context triple: [New York City Landmarks Preservation Commission, shortName, LPC]
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • C. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. LFPG
    LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
  • 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: LPC
Triple: [New York City Landmarks Preservation Commission, shortName, LPC]
Generated description
The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LPC
Target entity description: The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • C. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. LFPG
    LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25856d934819095460b2ea566eb6b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d4cbaedc81908aa7cf4df2661ccc completed Feb. 28, 2026, 11:43 a.m.
NEDg Description generation batch_69a2d5c4532081909855cb9fd5395624 completed Feb. 28, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_69a2d63a6bc481908d6d3bd0f7e05ada completed Feb. 28, 2026, 11:49 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.