Triple

T35352847
Position Surface form Disambiguated ID Type / Status
Subject Whiskey Island E1020930 entity
Predicate near P350 FINISHED
Object Cleveland Coast Guard Station
The Cleveland Coast Guard Station is a historic former U.S. Coast Guard facility on Lake Erie’s shoreline in Cleveland, Ohio, known for its distinctive Art Deco architecture and role in maritime safety.
E2137353 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: Cleveland Coast Guard Station | Statement: [Whiskey Island, near, Cleveland Coast Guard Station]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cleveland Coast Guard Station
Triple: [Whiskey Island, near, Cleveland Coast Guard Station]
Generated description
The Cleveland Coast Guard Station is a historic former U.S. Coast Guard facility on Lake Erie’s shoreline in Cleveland, Ohio, known for its distinctive Art Deco architecture and role in maritime safety.

Provenance (5 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_69f76decd95c8190ae428f6a19d535de completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79196d20481909ddcb2466f4b3860 completed May 3, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823d5af348190b6d84f4569c9c233 completed June 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a3824823190819085d090f2dbb608f9 completed June 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a38266c9a8c81908c041eab45f05c6f completed June 21, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:03 p.m.