Triple

T24311224
Position Surface form Disambiguated ID Type / Status
Subject SLK E612677 entity
Predicate regionServed P82 FINISHED
Object Saranac Lake–Lake Placid region
The Saranac Lake–Lake Placid region is a scenic area in New York’s Adirondack Mountains known for its lakes, outdoor recreation, and historic Winter Olympic venues.
 E1629430 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: Saranac Lake–Lake Placid region | Statement: [SLK, regionServed, Saranac Lake–Lake Placid region]
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: Saranac Lake–Lake Placid region
Triple: [SLK, regionServed, Saranac Lake–Lake Placid region]
Generated description
The Saranac Lake–Lake Placid region is a scenic area in New York’s Adirondack Mountains known for its lakes, outdoor recreation, and historic Winter Olympic venues.

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2922a6afc8190b02cc2d185d15a45 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9db4a0081908b363a7c24b7abde completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcd0a6c9c8190bf0f5ab11825a5d9 completed May 22, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce302f6081909a462e08d08c5bb7 completed May 22, 2026, 3:32 a.m.
Created at: April 18, 2026, 1:37 a.m.