Triple

T35640999
Position Surface form Disambiguated ID Type / Status
Subject Raisin River E1029860 entity
Predicate hasTributary P415 FINISHED
Object Middle Branch Raisin River
The Middle Branch Raisin River is a secondary watercourse in the Raisin River watershed, contributing to the river system in the Great Lakes region of the United States.
 E2152481 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: Middle Branch Raisin River | Statement: [Raisin River, hasTributary, Middle Branch Raisin 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: Middle Branch Raisin River
Triple: [Raisin River, hasTributary, Middle Branch Raisin River]
Generated description
The Middle Branch Raisin River is a secondary watercourse in the Raisin River watershed, contributing to the river system in the Great Lakes region of the United States.

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_69f76e087bdc8190a4794bf9c0bd7634 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f4ba54481908718e54775ed46e5 completed May 3, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d013860819080c90017c6a2be15 completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387df5525c8190a56a0657210b9c99 completed June 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a387e68ab908190bf3f19981dfe0397 completed June 22, 2026, 12:14 a.m.
Created at: May 3, 2026, 4:05 p.m.