Triple

T777496
Position Surface form Disambiguated ID Type / Status
Subject Old Town (Alexandria, Virginia) E16419 entity
Predicate zoningProtection P15826 FINISHED
Object historic preservation ordinances 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: historic preservation ordinances | Statement: [Old Town (Alexandria, Virginia), zoningProtection, historic preservation ordinances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: zoningProtection
Context triple: [Old Town (Alexandria, Virginia), zoningProtection, historic preservation ordinances]
  • A. protectsFeature
    Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
  • B. zone
    Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
  • C. protectionType chosen
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • D. isInProtectedArea
    Indicates that an entity is located within a designated protected or conservation area.
  • E. hasProtectedArea
    Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69a4a50a443481909ae3662764ee69a4 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.