Triple

T4818224
Position Surface form Disambiguated ID Type / Status
Subject Croton Watershed E107642 entity
Predicate contains P35 FINISHED
Object Lake Gleneida E241506 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 Gleneida | Statement: [Croton Watershed, contains, Lake Gleneida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Gleneida
Context triple: [Croton Watershed, contains, Lake Gleneida]
  • A. Lake Gleneida chosen
    Lake Gleneida is a scenic freshwater lake in Carmel, New York, known as a local landmark and recreational spot in Putnam County.
  • B. Lake Talquin
    Lake Talquin is a large reservoir in northern Florida known for its fishing, boating, and surrounding wildlife management areas.
  • C. Threenarrows Lake
    Threenarrows Lake is a remote backcountry lake in Ontario’s Killarney Provincial Park, known for its rugged wilderness setting and canoe-camping opportunities.
  • D. Lake Lillinonah
    Lake Lillinonah is a large, scenic man-made lake in western Connecticut popular for boating, fishing, and waterfront recreation.
  • E. Teresa Lake
    Teresa Lake is a small alpine glacial lake in Nevada’s Great Basin National Park, known for its scenic mountain setting and hiking access.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe8ba08f88190a0b10b7a0a05b98c completed March 22, 2026, 1:03 p.m.
Created at: March 20, 2026, 1:24 p.m.