Triple

T24718186
Position Surface form Disambiguated ID Type / Status
Subject Middlebury Gap E612219 entity
Predicate drainageDivideBetween P6497 FINISHED
Object White River watershed
The White River watershed is a river basin in central Vermont that collects precipitation and runoff feeding the White River and its tributaries before ultimately draining into the Connecticut River.
 E1650540 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: White River watershed | Statement: [Middlebury Gap, drainageDivideBetween, White River watershed]
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: White River watershed
Triple: [Middlebury Gap, drainageDivideBetween, White River watershed]
Generated description
The White River watershed is a river basin in central Vermont that collects precipitation and runoff feeding the White River and its tributaries before ultimately draining into the Connecticut River.

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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f410151cc08190bfef15cd2509bab1 completed May 1, 2026, 2:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bfae54c81908f95e2714e1e3963 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a10248751648190aabfa72ad8ab0b3f completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a10258f82b4819095231c1c9398b2c8 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 3:39 a.m.