Triple

T35101879
Position Surface form Disambiguated ID Type / Status
Subject Waterson Point State Park E1013040 entity
Predicate nearestSettlement P3883 FINISHED
Object Fineview, New York
Fineview, New York is a small hamlet in the Thousand Islands region of Jefferson County, known for its scenic St. Lawrence River setting and proximity to nearby state parks and island attractions.
E2126433 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: Fineview, New York | Statement: [Waterson Point State Park, nearestSettlement, Fineview, New York]
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: Fineview, New York
Triple: [Waterson Point State Park, nearestSettlement, Fineview, New York]
Generated description
Fineview, New York is a small hamlet in the Thousand Islands region of Jefferson County, known for its scenic St. Lawrence River setting and proximity to nearby state parks and island attractions.

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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c0637708190ac207bad523bd3d5 completed May 3, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cff5e05c8190bf37bdcf37b0b02a completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0c6633c81909a7d803ece43f548 completed June 21, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a37d3792f2c81909ae28634bbc0c47a completed June 21, 2026, 12:05 p.m.
Created at: May 3, 2026, 4:01 p.m.