Triple

T20539070
Position Surface form Disambiguated ID Type / Status
Subject Ravensworth, Virginia E504277 entity
Predicate areaHistory P63734 FINISHED
Object originally part of a large colonial land grant 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: originally part of a large colonial land grant | Statement: [Ravensworth, Virginia, areaHistory, originally part of a large colonial land grant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaHistory
Context triple: [Ravensworth, Virginia, areaHistory, originally part of a large colonial land grant]
  • A. architectureHistory
    Indicates a historical or developmental relationship between an entity and its architectural evolution, style, or significant architectural events over time.
  • B. regionHistory chosen
    Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
  • C. urbanHistoryFeature
    Indicates a feature that plays a significant role in the historical development, events, or evolution of an urban area.
  • D. otherHistoricSee
    Indicates that an entity is associated with or linked to another historically significant site, event, or point of interest that can be seen or visited.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a290bd8c819091988f511fb5820b completed April 20, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:37 a.m.