Triple

T24805473
Position Surface form Disambiguated ID Type / Status
Subject Arbuckle Mountains E620645 entity
Predicate drainage P1559 FINISHED
Object Blue River
Blue River is a freshwater stream in Oklahoma known for flowing through the Arbuckle Mountains and providing scenic habitats and recreational opportunities.
E1777594 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: Blue River | Statement: [Arbuckle Mountains, drainage, Blue 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: Blue River
Triple: [Arbuckle Mountains, drainage, Blue River]
Generated description
Blue River is a freshwater stream in Oklahoma known for flowing through the Arbuckle Mountains and providing scenic habitats and recreational opportunities.

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_69e2fabf26bc8190b191faac8f67065b completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42204fe2c8190b7debafe3ddd1fe5 completed May 1, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12c57bfa248190857d7f5360b8ccf7 completed May 24, 2026, 9:31 a.m.
NEDg Description generation batch_6a12c6f592908190a6925a9c563dfdb0 completed May 24, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7a235f08190909cbd31986349d4 completed May 24, 2026, 9:40 a.m.
Created at: April 18, 2026, 4:49 a.m.