Triple

T19655528
Position Surface form Disambiguated ID Type / Status
Subject Hartford, Vermont E471928 entity
Predicate locatedOnRiver P165 FINISHED
Object White River
The White River is a tributary of the Connecticut River in central Vermont, known for its scenic valleys, recreational fishing, and historic mill towns along its banks.
 E482315 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 | Statement: [Hartford, Vermont, locatedOnRiver, White River]
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
Triple: [Hartford, Vermont, locatedOnRiver, White River]
Generated description
The White River is a tributary of the Connecticut River in central Vermont, known for its scenic valleys, recreational fishing, and historic mill towns along its banks.

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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641452ac481908d5493506ee96516 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10759886d88190997a6a6a026b4f89 completed May 22, 2026, 3:26 p.m.
NEDg Description generation batch_6a10765abfb881908ab8908e1e497f64 completed May 22, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_6a107735ae30819095bf24d523279c69 completed May 22, 2026, 3:33 p.m.
Created at: April 10, 2026, 1:45 p.m.