Triple

T27290425
Position Surface form Disambiguated ID Type / Status
Subject Smithville Lake E688605 entity
Predicate inflow P415 FINISHED
Object Little Platte River
The Little Platte River is a tributary stream in northwestern Missouri that feeds into Smithville Lake and ultimately contributes to the Platte River watershed.
E1776971 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: Little Platte River | Statement: [Smithville Lake, inflow, Little Platte 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: Little Platte River
Triple: [Smithville Lake, inflow, Little Platte River]
Generated description
The Little Platte River is a tributary stream in northwestern Missouri that feeds into Smithville Lake and ultimately contributes to the Platte River watershed.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62758ffd081908c32408327adeee6 completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c58fecf08190a2c29ea279fe8b39 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6815f2081908101a3e47b812298 completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6fb1e588190997a8fd210b5e52b completed May 24, 2026, 9:38 a.m.
Created at: April 27, 2026, 11:14 a.m.