Triple

T15217621
Position Surface form Disambiguated ID Type / Status
Subject Lloyd neighborhood E363679 entity
Predicate contains P35 FINISHED
Object Moda Center E17281 NE 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: Moda Center | Statement: [Lloyd neighborhood, contains, Moda Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moda Center
Context triple: [Lloyd neighborhood, contains, Moda Center]
  • A. Moda Center chosen
    The Moda Center is a major indoor sports and entertainment arena in Portland, Oregon, best known as the home venue of the NBA's Portland Trail Blazers.
  • B. Garment Center
    Garment Center is a major New York City neighborhood known as the historic hub of the American fashion and apparel industry.
  • C. White City Shopping Center
    White City Shopping Center is a retail plaza in Shrewsbury, Massachusetts, featuring a variety of stores, services, and dining options for local shoppers.
  • D. Emporium Center
    Emporium Center is a community-focused arts and cultural hub that hosts galleries, performances, and creative events.
  • E. Mega Fashion Hall
    Mega Fashion Hall is a modern, upscale wing of SM Megamall in the Philippines, known for its high-end fashion brands, stylish dining options, and contemporary architectural design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5ebb8d48190b4afc540da8e6a4b completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:11 a.m.