Triple

T11953332
Position Surface form Disambiguated ID Type / Status
Subject Indiana State Road 446 E284482 entity
Predicate passesNear P416 FINISHED
Object Lake Monroe E258543 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 Monroe | Statement: [Indiana State Road 446, passesNear, Lake Monroe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Monroe
Context triple: [Indiana State Road 446, passesNear, Lake Monroe]
  • A. Lake Monroe
    Lake Monroe is a large freshwater lake in central Florida that serves as a prominent widening of the St. Johns River and a key recreational and ecological area.
  • B. Lake Monroe chosen
    Lake Monroe is a large man-made reservoir in south-central Indiana known for boating, fishing, and outdoor recreation.
  • C. Lake Martin
    Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, and lakeside communities.
  • D. Lake Oscawana
    Lake Oscawana is a popular recreational lake in Putnam Valley, New York, known for boating, fishing, and its scenic wooded surroundings.
  • E. Lake J. B. Thomas
    Lake J. B. Thomas is a man-made reservoir in West Texas used primarily for water supply, recreation, and fishing.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9d94b48190b026d5a0ad3d6ce7 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:45 p.m.