Triple

T7957620
Position Surface form Disambiguated ID Type / Status
Subject Lake Quinsigamond E184778 entity
Predicate hasFacility P105 FINISHED
Object Lake Park unclear NED1 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 Park | Statement: [Lake Quinsigamond, hasFacility, Lake Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Park
Context triple: [Lake Quinsigamond, hasFacility, Lake Park]
  • A. Lake Park
    Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
  • B. Lake Park
    Lake Park is a public recreational park in Winona, Minnesota, known for its lakeside setting and outdoor amenities.
  • C. Bay Lake
    Bay Lake is a natural lake in Central Florida located near the Walt Disney World Resort.
  • D. Round Lake
    Round Lake is a small village and lake in Saratoga County, New York, known for its historic character and recreational waterfront.
  • E. Lake Burien Park
    Lake Burien Park is a local public green space in Burien, Washington, offering residents access to natural scenery and outdoor recreation near Lake Burien.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7ebb24819094bc011d51ef63fb completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe072ef4c8190a8e078c5280913db completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:11 p.m.