Triple

T14738971
Position Surface form Disambiguated ID Type / Status
Subject Lake Tiorati E346292 entity
Predicate near P350 FINISHED
Object Lake Sebago E359895 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 Sebago | Statement: [Lake Tiorati, near, Lake Sebago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Sebago
Context triple: [Lake Tiorati, near, Lake Sebago]
  • A. Lake Sebago chosen
    Lake Sebago is a popular recreational lake in New York’s Harriman State Park known for activities such as swimming, boating, and fishing amid forested surroundings.
  • B. Sebago Lake
    Sebago Lake is a large, deep freshwater lake in southern Maine known for its clear waters, recreational activities, and role as a major regional water supply.
  • C. Umbagog Lake
    Umbagog Lake is a large, remote freshwater lake straddling the Maine–New Hampshire border, known for its rich wildlife habitat and protected status as a national wildlife refuge and state park.
  • D. Mattawamkeag Lake
    Mattawamkeag Lake is a freshwater lake in Aroostook County, Maine, known for recreational activities such as fishing, boating, and camping.
  • E. Otsego Lake
    Otsego Lake is a scenic glacial lake in central New York, best known for bordering the village of Cooperstown and inspiring James Fenimore Cooper’s “Glimmerglass” in his Leatherstocking Tales.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a347808190a72dfd3a1b776982 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:29 a.m.