Triple

T14341415
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation E355613 entity
Predicate shortName P43 FINISHED
Object PEPM E71963 NE FINISHED

How this triple was built (2 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: PEPM | Statement: [ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, shortName, PEPM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEPM
Context triple: [ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, shortName, PEPM]
  • A. PEPM chosen
    PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
  • B. PEP
    PEP is the stock ticker symbol for PepsiCo, the multinational food, snack, and beverage corporation traded on the NASDAQ.
  • C. PEPs
    PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
  • D. PEP 8016
    PEP 8016 is a Python Enhancement Proposal that defined a governance model for the Python project following Guido van Rossum’s retirement as BDFL.
  • E. PE5
    PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e87febc8190a63c668cbd0fd713 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469bc538819099ed5b7061cf140d completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.