Triple

T16380956
Position Surface form Disambiguated ID Type / Status
Subject DLR Group E397803 entity
Predicate hasOfficeIn P1268 FINISHED
Object Phoenix, Arizona E526394 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: Phoenix, Arizona | Statement: [DLR Group, hasOfficeIn, Phoenix, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Arizona
Context triple: [DLR Group, hasOfficeIn, Phoenix, Arizona]
  • A. Phoenix, Arizona chosen
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
  • B. Phoenix, Arizona
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its sprawling metropolitan area, desert climate, and role as a major economic and cultural center of the American Southwest.
  • C. Phoenix
    Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
  • D. Phoenix
    Phoenix is a high-performance web development framework for the Elixir programming language, designed for building scalable, real-time applications.
  • E. Phoenix
    Phoenix is the powerful mutant alter-ego of Jean Grey in the X-Men franchise, known for her immense telepathic and telekinetic abilities and central role in several major storylines.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecdffac81908ca03a88974203f9 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:08 a.m.