Triple

T7637035
Position Surface form Disambiguated ID Type / Status
Subject Louisburg Square E172903 entity
Predicate parkOwnership P23570 FINISHED
Object privately owned 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: privately owned | Statement: [Louisburg Square, parkOwnership, privately owned]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parkOwnership
Context triple: [Louisburg Square, parkOwnership, privately owned]
  • A. hasParkOwner chosen
    Indicates that an entity serves as the owner or legal controller of a particular park.
  • B. parkAuthority
    Indicates that an entity has official responsibility for managing, regulating, or overseeing a park or protected recreational area.
  • C. hasParkingLotOwner
    Indicates that a parking lot is owned or possessed by a specific owner.
  • D. parkSystem
    Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
  • E. ownsPropertyIn
    Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fac953e08190a2f50bf783c49faf completed March 27, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c6f4e8cadc8190b7977fcd213954dd completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:57 p.m.