Triple

T13504703
Position Surface form Disambiguated ID Type / Status
Subject Pershing Square E320983 entity
Predicate stationCode P1289 FINISHED
Object PSQ
PSQ is the station code for Pershing Square, a Los Angeles Metro Rail station in downtown Los Angeles.
 E1045755 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: PSQ | Statement: [Pershing Square, stationCode, PSQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PSQ
Context triple: [Pershing Square, stationCode, PSQ]
  • A. PLSQ
    PLSQ is a semi-professional soccer league in Quebec that forms part of the Canadian soccer pyramid and helps develop local talent.
  • B. PSB
    PSB is an acronym commonly used to refer to a Protective Services Bureau, a division typically responsible for safeguarding people, property, and critical assets.
  • C. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • D. PSB
    PSB is Adobe Photoshop’s large document file format designed to handle images exceeding the size and layer limits of standard PSD files.
  • E. PSB
    PSB is a high-energy particle accelerator at CERN that boosts protons from the Proton Synchrotron Injector Complex to higher energies for use in subsequent accelerators and experiments.
  • 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: PSQ
Triple: [Pershing Square, stationCode, PSQ]
Generated description
PSQ is the station code for Pershing Square, a Los Angeles Metro Rail station in downtown Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PSQ
Target entity description: PSQ is the station code for Pershing Square, a Los Angeles Metro Rail station in downtown Los Angeles.
  • A. PLSQ
    PLSQ is a semi-professional soccer league in Quebec that forms part of the Canadian soccer pyramid and helps develop local talent.
  • B. PSB
    PSB is an acronym commonly used to refer to a Protective Services Bureau, a division typically responsible for safeguarding people, property, and critical assets.
  • C. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • D. PSB
    PSB is Adobe Photoshop’s large document file format designed to handle images exceeding the size and layer limits of standard PSD files.
  • E. PSB
    PSB is a high-energy particle accelerator at CERN that boosts protons from the Proton Synchrotron Injector Complex to higher energies for use in subsequent accelerators and experiments.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758a55ddc81909298a37f6ce88236 completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:43 p.m.