Triple

T4561608
Position Surface form Disambiguated ID Type / Status
Subject USRA Light Mikado 2-8-2 locomotive design E121803 entity
Predicate WhyteNotation P57680 FINISHED
Object 2-8-2 LITERAL 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: 2-8-2 | Statement: [USRA Light Mikado 2-8-2 locomotive design, WhyteNotation, 2-8-2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: WhyteNotation
Context triple: [USRA Light Mikado 2-8-2 locomotive design, WhyteNotation, 2-8-2]
  • A. positionInNotation
    Indicates the specific place or index that an element occupies within a given ordered notation or representation.
  • B. typicalNotation
    Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
  • C. distinguishingNotation
    Indicates that one entity uses a specific notation or symbol to distinguish or differentiate another entity from similar ones.
  • D. offsetNotation
    Indicates that one representation specifies how far and in what way another representation is shifted or displaced from a reference point or baseline.
  • E. usesSubtractiveNotation
    Indicates that something represents values by subtracting one symbol’s value from another, as in numeral systems where smaller units placed before larger ones denote a difference rather than a sum.
  • F. None of above. chosen

Provenance (4 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd582d98fc8190a760dbb5f20c775d completed March 20, 2026, 2:22 p.m.
PD Predicate disambiguation batch_69bd52254c648190a5144cfe8fa7e409 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:09 p.m.