Triple

T13164517
Position Surface form Disambiguated ID Type / Status
Subject Skyline Boulevard E312814 entity
Predicate adjacentTo P224 FINISHED
Object Forest Park E57086 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: Forest Park | Statement: [Skyline Boulevard, adjacentTo, Forest Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forest Park
Context triple: [Skyline Boulevard, adjacentTo, Forest Park]
  • A. Forest Park
    Forest Park is a large urban public park in St. Louis known for hosting major cultural institutions, museums, and recreational spaces, and for being one of the largest city parks in the United States.
  • B. Forest Park chosen
    Forest Park is a vast, heavily forested urban park in Portland, Oregon, known for its extensive trail system and rich wildlife habitat.
  • C. Forest Park
    Forest Park is a large historic urban park in Springfield, Massachusetts, known for its extensive green spaces, recreational facilities, and seasonal attractions.
  • D. Forest Park
    Forest Park is a large urban green space in central Queens, New York City, known for its extensive woodlands, trails, and recreational facilities.
  • E. Forest Park
    Forest Park is a public recreational park in Valparaiso, Indiana, offering green space and outdoor amenities for local residents and visitors.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce12e78819080b3fe19c57ef3ef completed May 9, 2026, 12:47 p.m.
Created at: April 9, 2026, 9:13 p.m.