Triple

T31909817
Position Surface form Disambiguated ID Type / Status
Subject Grahamsville, New York E814647 entity
Predicate locatedOn P40 FINISHED
Object Neversink River valley
The Neversink River valley is a scenic river valley in the Catskill region of New York State, known for its reservoirs, forests, and role in supplying water to New York City.
 E1983816 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: Neversink River valley | Statement: [Grahamsville, New York, locatedOn, Neversink River valley]
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: Neversink River valley
Triple: [Grahamsville, New York, locatedOn, Neversink River valley]
Generated description
The Neversink River valley is a scenic river valley in the Catskill region of New York State, known for its reservoirs, forests, and role in supplying water to New York City.

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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b1b92b9081909105e14626a3c04b completed May 3, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a30306c8190ad8200703c1e0c20 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8ad753688190829398ff32cf09e8 completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b9c48a48190a1c5bef0fe49f633 completed June 14, 2026, 11:08 a.m.
Created at: May 1, 2026, 12:01 a.m.