Triple

T6693579
Position Surface form Disambiguated ID Type / Status
Subject Dallas urban area E152689 entity
Predicate hasSuburb P747 FINISHED
Object Irving E22358 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: Irving | Statement: [Dallas urban area, hasSuburb, Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irving
Context triple: [Dallas urban area, hasSuburb, Irving]
  • A. Irving
    Irving is a masculine given name of English origin that gained prominence in the late 19th and early 20th centuries, borne by figures such as film producer Irving Thalberg and writer Washington Irving.
  • B. Irving
    Irving is a surname most famously associated with Washington Irving, the early 19th-century American author of classics like "Rip Van Winkle" and "The Legend of Sleepy Hollow."
  • C. Irving chosen
    Irving is a major suburban city in the Dallas–Fort Worth metropolitan area known for its diverse population and significant business and transportation hubs.
  • D. Irving, Texas
    Irving, Texas is a major city in the Dallas–Fort Worth metropolitan area known for its corporate presence, transportation hubs, and role as a center for business and sports administration.
  • E. Grand Tyler
    Grand Tyler is a Masonic lodge officer responsible for guarding the entrance to the lodge and ensuring only duly qualified members are admitted.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b97210819086e88624c476fa24 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.