Triple

T4608063
Position Surface form Disambiguated ID Type / Status
Subject Loop 101 E100484 entity
Predicate regionServed P82 FINISHED
Object North Phoenix E9582 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: North Phoenix | Statement: [Loop 101, regionServed, North Phoenix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Phoenix
Context triple: [Loop 101, regionServed, North Phoenix]
  • A. Phoenix chosen
    Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
  • B. Phoenix
    Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
  • C. Phoenix
    Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
  • D. Phoenix
    Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
  • E. Phoenix
    Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599debdc81909d11d0e871c666bb completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa789cdc8190add02a5970f9a0b6 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.