Triple

T33360704
Position Surface form Disambiguated ID Type / Status
Subject Fort Ridgely E854211 entity
Predicate attackedBy P2363 FINISHED
Object Dakota (Sioux) warriors
Dakota (Sioux) warriors were Native American fighters from the Dakota (Sioux) people, known for their armed resistance against U.S. military and settler expansion in the Upper Midwest during the 19th century.
E2046970 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: Dakota (Sioux) warriors | Statement: [Fort Ridgely, attackedBy, Dakota (Sioux) warriors]
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: Dakota (Sioux) warriors
Triple: [Fort Ridgely, attackedBy, Dakota (Sioux) warriors]
Generated description
Dakota (Sioux) warriors were Native American fighters from the Dakota (Sioux) people, known for their armed resistance against U.S. military and settler expansion in the Upper Midwest during the 19th century.

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_69f3496bda8c8190bfc8fade9d1b791c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6dfa8be3881908c0ec37140f3db04 completed May 3, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a355213109c8190b296fbce0dad3697 completed June 19, 2026, 2:28 p.m.
NEDg Description generation batch_6a3554413ca481909af5cf64f182051a completed June 19, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_6a3554a6e0ec819099dac83f8f062643 completed June 19, 2026, 2:39 p.m.
Created at: May 1, 2026, 1:34 a.m.