Triple

T2261783
Position Surface form Disambiguated ID Type / Status
Subject Tempe E50054 entity
Predicate hasWaterBody P165 FINISHED
Object Tempe Town Lake E155474 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: Tempe Town Lake | Statement: [Tempe, hasWaterBody, Tempe Town Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempe Town Lake
Context triple: [Tempe, hasWaterBody, Tempe Town Lake]
  • A. Tempe Town Lake chosen
    Tempe Town Lake is an artificial reservoir on the Salt River in Tempe, Arizona, known for recreation, waterfront development, and community events.
  • B. Goldwater Lake
    Goldwater Lake is a small recreational reservoir in the mountains near Prescott, Arizona, popular for fishing, kayaking, and lakeside picnicking.
  • C. Spreckels Lake
    Spreckels Lake is a man-made model yacht and boating lake located within San Francisco’s Golden Gate Park.
  • D. East Lake
    East Lake is a high-elevation volcanic lake within the Newberry Caldera in central Oregon, known for its scenic setting and recreational fishing and boating.
  • E. East Lake
    East Lake is a vast scenic freshwater lake and popular recreational area in Wuhan, China, known for its gardens, walking paths, and cultural attractions.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f08f2b88190bba173acb132a160 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.