Triple

T1901688
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Police Service E37701 entity
Predicate hasAbbreviation P43 FINISHED
Object MPS E60202 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: MPS | Statement: [Metropolitan Police Service, hasAbbreviation, MPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPS
Context triple: [Metropolitan Police Service, hasAbbreviation, MPS]
  • A. MPS chosen
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • B. MPC
    MPC is the commonly used abbreviation for the Monetary Policy Committee, the body responsible for setting key interest rates and guiding monetary policy in several countries, including the United Kingdom.
  • C. MFS
    MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
  • D. MRS
    MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
  • E. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18da27c8190b315b462c857f4c2 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf558148190b920693e2348190f completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.