Triple

T34802685
Position Surface form Disambiguated ID Type / Status
Subject Transportation in Linn County, Iowa E1003258 entity
Predicate affectedBy P9 FINISHED
Object Cedar River flooding
Cedar River flooding refers to recurring high-water events along the Cedar River that have caused significant damage and disruption to communities and infrastructure, particularly in eastern Iowa cities such as Cedar Rapids.
E2114003 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: Cedar River flooding | Statement: [Transportation in Linn County, Iowa, affectedBy, Cedar River flooding]
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: Cedar River flooding
Triple: [Transportation in Linn County, Iowa, affectedBy, Cedar River flooding]
Generated description
Cedar River flooding refers to recurring high-water events along the Cedar River that have caused significant damage and disruption to communities and infrastructure, particularly in eastern Iowa cities such as Cedar Rapids.

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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a8adccc8190a80bb421f7a04e82 completed May 3, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fabe43c8190803d59ef868042d0 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3772a547008190aad97e280ea89d79 completed June 21, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a3772f88660819083885d586ce06753 completed June 21, 2026, 5:13 a.m.
Created at: May 3, 2026, 3:59 p.m.