Triple

T3450646
Position Surface form Disambiguated ID Type / Status
Subject PLDI Student Research Competition E72784 entity
Predicate sponsoredBy P67 FINISHED
Object ACM E294926 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: ACM | Statement: [PLDI Student Research Competition, sponsoredBy, ACM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM
Context triple: [PLDI Student Research Competition, sponsoredBy, ACM]
  • A. ACM
    ACM is an abbreviation commonly used to refer to Alarm Communication Management, a system or framework for handling and coordinating alarm-related communications.
  • B. ACM
    ACM is a senior four-star air officer rank used in several air forces, typically held by the professional head of the service.
  • C. ACM chosen
    ACM is a leading international scientific and educational computing society known for publishing research journals, organizing conferences, and advancing the field of computer science.
  • D. ACM
    ACM is the commonly used abbreviation for the Appellate Court of Maryland, an intermediate appellate court in the Maryland state judiciary.
  • E. ACM TAP
    ACM TAP is a peer-reviewed scientific journal published by the Association for Computing Machinery that focuses on research in applied perception, including human-computer interaction, computer graphics, and related fields.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c789b48190807bddf1a3bf8d2e completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.