Triple

T446867
Position Surface form Disambiguated ID Type / Status
Subject Courthouse, Arlington E7039 entity
Predicate developmentPattern P8034 FINISHED
Object pedestrian-friendly 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: pedestrian-friendly | Statement: [Courthouse, Arlington, developmentPattern, pedestrian-friendly]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developmentPattern
Context triple: [Courthouse, Arlington, developmentPattern, pedestrian-friendly]
  • A. developmentStart
    Indicates the point in time or event when the development process of something begins.
  • B. development
    Indicates a process or relationship in which something grows, advances, or becomes more complex or mature over time.
  • C. developmentBegan
    Indicates that the process of creating or developing something was initiated at a particular time or under certain conditions.
  • D. pattern chosen
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • E. developedUnder
    Indicates that something was created, produced, or brought into existence while being subject to the authority, guidance, or conditions imposed by a particular person, organization, regime, or framework.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef62c7a88190851fcd57658b4102 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2eddfb5508190a4e06e1b260d8b2b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.