Triple

T3510356
Position Surface form Disambiguated ID Type / Status
Subject Eagle Lake, Maine E74180 entity
Predicate hasFeature P182 FINISHED
Object Eagle Lake E684610 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: Eagle Lake | Statement: [Eagle Lake, Maine, hasFeature, Eagle Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle Lake
Context triple: [Eagle Lake, Maine, hasFeature, Eagle Lake]
  • A. Eagle Lake chosen
    Eagle Lake is a town in Aroostook County, Maine, known for its scenic lake, outdoor recreation, and rural North Woods setting.
  • B. Fisher Lake
    Fisher Lake is a natural lake located within George Wyth State Park in Iowa, known for outdoor recreation such as fishing and boating.
  • C. Riffe Lake
    Riffe Lake is a large reservoir on the Cowlitz River in southwestern Washington, popular for fishing, boating, and camping.
  • D. Willen Lake
    Willen Lake is a large recreational lake and park in Milton Keynes, England, known for its watersports, walking trails, and family leisure facilities.
  • E. Herrington Lake
    Herrington Lake is a large man-made reservoir in central Kentucky known for its deep waters, recreational boating, and fishing opportunities.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be06206c81908e676d602234cd57 completed March 29, 2026, 5:52 a.m.
Created at: March 8, 2026, 3:18 p.m.