Triple

T30658656
Position Surface form Disambiguated ID Type / Status
Subject Manatee River E780460 entity
Predicate hasTributary P415 FINISHED
Object Braden River
Braden River is a significant waterway in Manatee County, Florida, known for its role in local recreation, wildlife habitat, and as part of the region’s freshwater system.
 E2294567 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: Braden River | Statement: [Manatee River, hasTributary, Braden 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: Braden River
Triple: [Manatee River, hasTributary, Braden River]
Generated description
Braden River is a significant waterway in Manatee County, Florida, known for its role in local recreation, wildlife habitat, and as part of the region’s freshwater system.

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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68adf0f908190aba108c90a766428 completed May 2, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bfd153f1081908b74d12ecc81c2ca completed Aug. 12, 2026, 4:56 a.m.
NEDg Description generation batch_6a7bfde3b03481909d6dc5db112d5575 completed Aug. 12, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_6a7bfe5cc24c819090d3b26bd185bc36 completed Aug. 12, 2026, 5:02 a.m.
Created at: April 29, 2026, 8:30 p.m.