Triple

T12656662
Position Surface form Disambiguated ID Type / Status
Subject ELT E302300 entity
Predicate secondaryMirrorDesignation P106034 FINISHED
Object M2 unclear NED1 NE FINISHED

How this triple was built (3 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: M2 | Statement: [ELT, secondaryMirrorDesignation, M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M2
Context triple: [ELT, secondaryMirrorDesignation, M2]
  • A. M2
    M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • B. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • C. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • D. M2
    M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • E. M2
    M2 is a major motorway in Northern Ireland that forms part of the key route connecting Belfast with the northern part of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryMirrorDesignation
Context triple: [ELT, secondaryMirrorDesignation, M2]
  • A. secondaryMirrorDiameter
    Indicates the diameter measurement of a system’s secondary mirror in a multi-mirror optical setup.
  • B. secondaryMirrorShape
    Indicates that one entity specifies or defines the geometric shape of a secondary mirror associated with another entity.
  • C. hasSecondaryMirrorPosition
    Indicates the spatial placement or configuration of a secondary mirror relative to the primary optical system.
  • D. primaryMirrorShape
    Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
  • E. secondPrototypeDesignation
    Indicates that an entity is assigned a secondary or alternative prototype designation distinct from its primary prototype identifier.
  • F. None of above. chosen

Provenance (5 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668832c7081909eb75429efba493e completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d96179c7648190a05a13991d62bebb completed April 10, 2026, 8:45 p.m.
Created at: April 9, 2026, 5:18 p.m.