Triple

T397876
Position Surface form Disambiguated ID Type / Status
Subject Dallas–Fort Worth metroplex E9212 entity
Predicate hasNotableArea P494 FINISHED
Object Uptown Dallas E3682 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: Uptown Dallas | Statement: [Dallas–Fort Worth metroplex, hasNotableArea, Uptown Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uptown Dallas
Context triple: [Dallas–Fort Worth metroplex, hasNotableArea, Uptown Dallas]
  • A. Uptown Dallas chosen
    Uptown Dallas is a vibrant, upscale neighborhood just north of downtown Dallas known for its high-rise living, trendy restaurants, nightlife, and walkable urban atmosphere.
  • B. South Siders
    South Siders is a nickname for the Chicago White Sox, referring to the Major League Baseball team based on the South Side of Chicago.
  • C. Deep Ellum
    Deep Ellum is a historic Dallas neighborhood known for its vibrant arts scene, live music venues, and nightlife.
  • D. Harlem Nights
    Harlem Nights is a 1989 crime-comedy film set in 1930s Harlem, written, directed by, and starring Eddie Murphy alongside Richard Pryor and Redd Foxx.
  • E. Sugar Street
    Sugar Street is a novel by Egyptian Nobel laureate Naguib Mahfouz that continues his Cairo Trilogy, depicting the evolving fortunes and political awakenings of a Cairene family across generations.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103d84bc819095f95ce4ce915114 completed March 1, 2026, 10:09 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.