Triple

T16932785
Position Surface form Disambiguated ID Type / Status
Subject Old Town, Chicago E410752 entity
Predicate locatedNear P294 FINISHED
Object Lincoln Park E73879 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: Lincoln Park | Statement: [Old Town, Chicago, locatedNear, Lincoln Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Park
Context triple: [Old Town, Chicago, locatedNear, Lincoln Park]
  • A. Lincoln Park chosen
    Lincoln Park is a large, historic lakefront park in Chicago known for its green spaces, beaches, cultural institutions, and the free Lincoln Park Zoo.
  • B. Lincoln Park
    Lincoln Park is a notable public park in Mexico City’s Miguel Hidalgo borough, known for its green spaces, cultural attractions, and recreational areas.
  • C. Lincoln Park
    Lincoln Park is a coastal San Francisco park known for its scenic bluffs, golf course, and cultural attractions overlooking the Golden Gate.
  • D. Lincoln Park
    Lincoln Park is a large historic public park in Washington, D.C.’s Capitol Hill neighborhood, known for its open green space, playgrounds, and notable monuments.
  • E. Lincoln Park
    Lincoln Park is a public urban park in Milwaukee County, Wisconsin, known for its riverside green space, recreational facilities, and natural areas within the county park system.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2650e08190b669d0cf2cf1275b completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe0ff608190903d0e64e04b1550 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.