Triple

T5313691
Position Surface form Disambiguated ID Type / Status
Subject Mark 2 coaching stock E119092 entity
Predicate subclass P1244 FINISHED
Object Mark 2D E119092 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: Mark 2D | Statement: [Mark 2 coaching stock, subclass, Mark 2D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark 2D
Context triple: [Mark 2 coaching stock, subclass, Mark 2D]
  • A. MK 2
    MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
  • B. Mark-3
    Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
  • C. Mark-4
    Mark-4 is a fourth-generation Jaeger classification used in the Pacific Rim universe, denoting advanced combat robots like Crimson Typhoon.
  • D. Mark 2 coaching stock chosen
    Mark 2 coaching stock is a class of British Rail passenger carriages introduced in the 1960s, widely used across the UK rail network for intercity and regional services.
  • E. Count of Mark
    Count of Mark was a historic noble title associated with the County of Mark in the Holy Roman Empire, often held by rulers who also governed larger German principalities such as Brandenburg and Prussia.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854d947081909e51b27e40940580 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1106ef9c8190811f7b70e784c962 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.