Triple

T20436573
Position Surface form Disambiguated ID Type / Status
Subject Bright Size Life E501263 entity
Predicate labelCatalogNumber P8090 FINISHED
Object ECM 1073 NE NERFINISHED

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: ECM 1073 | Statement: [Bright Size Life, labelCatalogNumber, ECM 1073]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECM 1073
Context triple: [Bright Size Life, labelCatalogNumber, ECM 1073]
  • A. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • B. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • C. ECM New Series chosen
    ECM New Series is a renowned classical and contemporary music imprint of the ECM record label, known for its high-quality recordings, innovative repertoire, and distinctive sound aesthetic.
  • D. EC3
    EC3 is a central London postcode district covering parts of the City of London, including areas around the financial district and the eastern end of the historic core.
  • E. EC75
    The EC75 is an Airbus Helicopters medium twin-engine helicopter model, commonly known as the H175, used for roles such as offshore transport, search and rescue, and executive transport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ef5fc8819089e3f97a63a52f86 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.