Triple

T22703720
Position Surface form Disambiguated ID Type / Status
Subject James River (Missouri) E561388 entity
Predicate impoundedBy P10781 FINISHED
Object Lake Springfield Dam
Lake Springfield Dam is a man-made structure in Missouri that creates Lake Springfield by impounding the James River for purposes such as water supply, recreation, and power generation.
E1904839 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: Lake Springfield Dam | Statement: [James River (Missouri), impoundedBy, Lake Springfield Dam]
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: Lake Springfield Dam
Triple: [James River (Missouri), impoundedBy, Lake Springfield Dam]
Generated description
Lake Springfield Dam is a man-made structure in Missouri that creates Lake Springfield by impounding the James River for purposes such as water supply, recreation, and power generation.

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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cca1e48190bbe7910f13692803 completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a276413753c8190bc46aa676b646345 completed June 9, 2026, 12:53 a.m.
NEDg Description generation batch_6a2764dcc7148190b7ba48ce073f845f completed June 9, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a2765db45d88190817f04133b5efd75 completed June 9, 2026, 1:01 a.m.
Created at: April 17, 2026, 3:16 p.m.