Triple

T27275389
Position Surface form Disambiguated ID Type / Status
Subject Gartempe River E688174 entity
Predicate hasTributary P415 FINISHED
Object Brame River
The Brame River is a smaller watercourse in western France that flows through the Nouvelle-Aquitaine region before joining the larger Gartempe River.
 E2291732 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: Brame River | Statement: [Gartempe River, hasTributary, Brame 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: Brame River
Triple: [Gartempe River, hasTributary, Brame River]
Generated description
The Brame River is a smaller watercourse in western France that flows through the Nouvelle-Aquitaine region before joining the larger Gartempe River.

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6272737c08190b3d33f2c92fdf2ff completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c846c62bc819090258464e6ec5bc4 completed July 19, 2026, 8:01 a.m.
NEDg Description generation batch_6a5c85216f848190a905a237a95083e9 completed July 19, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a5c85713e708190be341dbdd21a7897 completed July 19, 2026, 8:06 a.m.
Created at: April 27, 2026, 11:02 a.m.