Triple

T22149810
Position Surface form Disambiguated ID Type / Status
Subject Hughes 369 E547382 entity
Predicate successor P78 FINISHED
Object MD 500 series 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: MD 500 series | Statement: [Hughes 369, successor, MD 500 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MD 500 series
Context triple: [Hughes 369, successor, MD 500 series]
  • A. MD 500 chosen
    The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
  • B. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • C. M-50
    M-50 is a state trunkline highway in Michigan that runs east–west across the southern part of the state, connecting several communities and major routes.
  • D. Latitude 5000 series
    The Latitude 5000 series is a line of Dell business laptops designed to offer a balance of performance, security, and manageability for professional and enterprise users.
  • E. M-505
    M-505 is a regional road in the Community of Madrid, Spain, connecting Madrid with nearby towns such as Las Rozas and El Escorial.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f2c0e881909c3488bb5eb5959d completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.