Triple

T2451858
Position Surface form Disambiguated ID Type / Status
Subject Jasper Francis Cropsey E53722 entity
Predicate notableWork P4 FINISHED
Object Greenwood Lake E444591 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: Greenwood Lake | Statement: [Jasper Francis Cropsey, notableWork, Greenwood Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenwood Lake
Context triple: [Jasper Francis Cropsey, notableWork, Greenwood Lake]
  • A. Greenwood Lake chosen
    Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
  • B. Homestead Lake
    Homestead Lake is a recreational lake in Benoni, South Africa, known for its scenic surroundings and outdoor leisure activities.
  • C. Walker Lake
    Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
  • D. Woods Lake
    Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
  • E. Ward's Lake
    Ward's Lake is a picturesque artificial lake and popular leisure spot in Shillong, Meghalaya, known for its landscaped gardens, walking paths, and boating.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f52524819088b00009c9dd1823 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfaf20b6408190ae0ab543361a0eb2 completed March 22, 2026, 8:58 a.m.
Created at: March 6, 2026, 9:43 p.m.