Triple

T14223169
Position Surface form Disambiguated ID Type / Status
Subject Crestline E352548 entity
Predicate hasAttraction P105 FINISHED
Object Lake Gregory E1088605 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 Gregory | Statement: [Crestline, hasAttraction, Lake Gregory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Gregory
Context triple: [Crestline, hasAttraction, Lake Gregory]
  • A. Lake Gregory
    Lake Gregory is a scenic reservoir and popular recreational lake located in the hill town of Nuwara Eliya in central Sri Lanka.
  • B. Lake Gregory chosen
    Lake Gregory is a small mountain reservoir and recreational lake in Crestline, California, popular for fishing, boating, and lakeside activities in the San Bernardino Mountains.
  • C. Lake Bonham
    Lake Bonham is a man-made reservoir in Fannin County, Texas, primarily used for municipal water supply and recreational activities such as fishing and boating.
  • D. Lake Gibson
    Lake Gibson is a freshwater lake in Lakeland, Florida, known for recreational activities such as boating and fishing.
  • E. Lake Cathie
    Lake Cathie is a small coastal town and lagoon system in New South Wales, Australia, known for its beaches, fishing, and relaxed holiday atmosphere.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.