Triple

T19978016
Position Surface form Disambiguated ID Type / Status
Subject Meyerland E493740 entity
Predicate contains P35 FINISHED
Object Meyerland Plaza 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: Meyerland Plaza | Statement: [Meyerland, contains, Meyerland Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meyerland Plaza
Context triple: [Meyerland, contains, Meyerland Plaza]
  • A. Meyerland Plaza chosen
    Meyerland Plaza is a major shopping center in Houston, Texas, featuring a variety of retail stores, restaurants, and services that serve as a commercial hub for the surrounding Meyerland neighborhood.
  • B. Boulevard Plaza
    Boulevard Plaza is a prominent commercial office complex in Downtown Dubai known for its modern twin towers and proximity to the Burj Khalifa.
  • C. Greenwood Plaza
    Greenwood Plaza is a major retail and commercial shopping centre located in the central business district of North Sydney, Australia.
  • D. Grandview Plaza
    Grandview Plaza is a small city located in Geary County, Kansas, in the central United States.
  • E. Tollefson Plaza
    Tollefson Plaza is a central public gathering space and event plaza in downtown Tacoma, Washington, known for hosting community activities and cultural events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d11108481908241a2a96a795a7d completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.