Triple

T31702796
Position Surface form Disambiguated ID Type / Status
Subject Lexington and Ohio Railroad E809100 entity
Predicate helpedEstablishTown P1450 FINISHED
Object Midway, Kentucky 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: Midway, Kentucky | Statement: [Lexington and Ohio Railroad, helpedEstablishTown, Midway, Kentucky]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: helpedEstablishTown
Context triple: [Lexington and Ohio Railroad, helpedEstablishTown, Midway, Kentucky]
  • A. helpedLayFoundationFor chosen
    Indicates that one entity contributed significantly to the initial development or establishment of another entity, enabling its later growth or success.
  • B. wasFoundedAsTown
    Indicates that an entity came into existence specifically with the legal or formal status of a town.
  • C. foundingAsMissionTown
    Indicates the event in which a settlement is established specifically as a mission town, i.e., founded with the primary purpose of serving as a religious mission community.
  • D. helpedEstablishMarketFor
    Indicates that one entity played a significant role in creating, expanding, or enabling demand or commercial opportunities for another entity’s products, services, or activities.
  • E. inspiredSettlement
    Indicates that one entity’s ideas, actions, or example motivated or influenced the creation, development, or characteristics of a particular settlement.
  • F. None of above.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:12 p.m.