Triple

T25339962
Position Surface form Disambiguated ID Type / Status
Subject Dutch John, Utah E635381 entity
Predicate locatedNear P294 FINISHED
Object Green River
Green River is a major river in the western United States, flowing through Wyoming, Utah, and Colorado as the chief tributary of the Colorado River and a popular destination for rafting and fishing.
E263601 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: Green River | Statement: [Dutch John, Utah, locatedNear, Green 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: Green River
Triple: [Dutch John, Utah, locatedNear, Green River]
Generated description
Green River is a major river in the western United States, flowing through Wyoming, Utah, and Colorado as the chief tributary of the Colorado River and a popular destination for rafting and fishing.

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_69e75a99bd6481909476115b35b9a8e4 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f498b5a8fc8190ae67524766d4663f completed May 1, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cba7276c8190b5ddf5b398e6e6ca completed May 22, 2026, 9:33 p.m.
NEDg Description generation batch_6a10cf6c1eb8819097ba0b8c949bc71a completed May 22, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a10cfc8b81881908d2901a6f29a1506 completed May 22, 2026, 9:51 p.m.
Created at: April 21, 2026, 1:32 p.m.