Triple

T12333199
Position Surface form Disambiguated ID Type / Status
Subject American Public Media E294012 entity
Predicate hasAbbreviation P43 FINISHED
Object APM
APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
 E978293 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: APM | Statement: [American Public Media, hasAbbreviation, APM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: APM
Context triple: [American Public Media, hasAbbreviation, APM]
  • A. APC
    APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
  • B. APC
    APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
  • C. AMPS
    AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
  • D. AppDynamics
    AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
  • E. APAS
    APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
  • 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: APM
Triple: [American Public Media, hasAbbreviation, APM]
Generated description
APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: APM
Target entity description: APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
  • A. APC
    APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
  • B. APC
    APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
  • C. AMPS
    AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
  • D. AppDynamics
    AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
  • E. APAS
    APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62d0377348190b7c227cad70286ac completed May 2, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69f62dc269e88190acce761f77d44654 completed May 2, 2026, 5 p.m.
Created at: April 8, 2026, 9:53 p.m.