Triple

T13060809
Position Surface form Disambiguated ID Type / Status
Subject Mammoth Crest E329189 entity
Predicate overlooks P1323 FINISHED
Object Lake Mary E74655 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: Lake Mary | Statement: [Mammoth Crest, overlooks, Lake Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mary
Context triple: [Mammoth Crest, overlooks, Lake Mary]
  • A. Lake Mary chosen
    Lake Mary is a scenic alpine lake near Mammoth Lakes in California, popular for fishing, boating, and outdoor recreation amid mountain and forest surroundings.
  • B. Lake Mary
    Lake Mary is a popular reservoir in northern Arizona known for fishing, boating, and scenic forested surroundings near Flagstaff.
  • C. Lake Mary, Florida
    Lake Mary, Florida is a suburban city in Seminole County known for its affluent residential communities, strong public schools, and concentration of high-tech and corporate offices within the greater Orlando area.
  • D. Lake Helen
    Lake Helen is a high-elevation alpine lake in California’s Lassen Volcanic National Park, known for its striking blue waters and scenic mountain surroundings.
  • E. Lake Helen
    Lake Helen is a small historic city in Volusia County, Florida, known for its quiet residential character and early-20th-century architecture.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e7ee548190b4b18bdb1357c359 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe259408190a7e88482c96f24a9 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.