Triple

T574469
Position Surface form Disambiguated ID Type / Status
Subject SIGPLAN E13731 entity
Predicate sponsor P67 FINISHED
Object PADL
PADL (Practical Aspects of Declarative Languages) is an academic conference focused on the design, implementation, and application of declarative programming languages.
E71964 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: PADL | Statement: [SIGPLAN, sponsor, PADL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PADL
Context triple: [SIGPLAN, sponsor, PADL]
  • A. PDL
    PDL is a former name for USL League Two, a North American pre-professional soccer league that serves as a key development platform for college-aged and aspiring professional players.
  • B. APL
    APL is a widely cited peer-reviewed scientific journal focusing on rapid publication of significant new research in applied physics.
  • C. PABT
    PABT is the main Port Authority Bus Terminal in Midtown Manhattan, serving as New York City’s primary hub for intercity and commuter bus transportation.
  • D. PPAS
    PPAS is a New York City public school specializing in rigorous academic education combined with intensive training in the performing arts for middle and high school students.
  • E. PAPPG
    PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
  • 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: PADL
Triple: [SIGPLAN, sponsor, PADL]
Generated description
PADL (Practical Aspects of Declarative Languages) is an academic conference focused on the design, implementation, and application of declarative programming languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PADL
Target entity description: PADL (Practical Aspects of Declarative Languages) is an academic conference focused on the design, implementation, and application of declarative programming languages.
  • A. PDL
    PDL is a former name for USL League Two, a North American pre-professional soccer league that serves as a key development platform for college-aged and aspiring professional players.
  • B. APL
    APL is a widely cited peer-reviewed scientific journal focusing on rapid publication of significant new research in applied physics.
  • C. PABT
    PABT is the main Port Authority Bus Terminal in Midtown Manhattan, serving as New York City’s primary hub for intercity and commuter bus transportation.
  • D. PPAS
    PPAS is a New York City public school specializing in rigorous academic education combined with intensive training in the performing arts for middle and high school students.
  • E. PAPPG
    PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4c23548190a3b883239c7c78c8 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4c3df48190a886a8d3c633d417 completed March 2, 2026, 3:09 a.m.
NEDg Description generation batch_69a4ffcad6e08190938018ade5bc5d67 completed March 2, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69a5001de9c481909d43c001028c922c completed March 2, 2026, 3:12 a.m.
Created at: March 1, 2026, 7:33 p.m.