Triple

T9841090
Position Surface form Disambiguated ID Type / Status
Subject GRASP Laboratory E239226 entity
Predicate acronym P43 FINISHED
Object GRASP E239226 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: GRASP | Statement: [GRASP Laboratory, acronym, GRASP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GRASP
Context triple: [GRASP Laboratory, acronym, GRASP]
  • A. GRASP Laboratory chosen
    The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
  • B. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • C. GraSPP
    GraSPP is the Graduate School of Public Policy at the University of Tokyo, offering advanced education and research in public policy and related fields.
  • D. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • E. GRSE
    GRSE is a leading Indian shipbuilding company, formally known as Garden Reach Shipbuilders & Engineers, renowned for constructing warships and other naval vessels for the Indian Navy and Coast Guard.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.