Triple

T1336211
Position Surface form Disambiguated ID Type / Status
Subject Missouri–Kansas–Texas Railroad E28754 entity
Predicate reportedMarks P27888 FINISHED
Object MKT E154788 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: MKT | Statement: [Missouri–Kansas–Texas Railroad, reportedMarks, MKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKT
Context triple: [Missouri–Kansas–Texas Railroad, reportedMarks, MKT]
  • A. MKT chosen
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • B. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. Marken
    Marken is a small, picturesque former island village in the Netherlands known for its traditional wooden houses, fishing heritage, and distinctive cultural character.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reportedMarks
Context triple: [Missouri–Kansas–Texas Railroad, reportedMarks, MKT]
  • A. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • B. reportedOn
    Indicates that one entity has provided an account, description, or coverage of another entity, typically as news, documentation, or an official report.
  • C. scoreReportedTo
    Indicates that a score or result has been communicated or submitted from one party to another.
  • D. markType
    Indicates the specific category or kind of mark associated with or applied to an entity.
  • E. notableReport
    Indicates that an entity has produced, authored, or is otherwise associated with a report that is considered notable or significant.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1ecb5208190a9eadda113c91e66 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce660ccc8190abc6cdceaf09101c completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c1bf31988190a659f48fe018f4bc completed March 1, 2026, 10:46 p.m.
Created at: March 1, 2026, 7:55 p.m.