Triple

T27452241
Position Surface form Disambiguated ID Type / Status
Subject Imbrasos River E692477 entity
Predicate hasAlternativeName P39 FINISHED
Object Imbrasus River
The Imbrasus River is an ancient river of the island of Samos in Greece, frequently mentioned in Greek mythology and classical literature.
 E2293296 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: Imbrasus River | Statement: [Imbrasos River, hasAlternativeName, Imbrasus 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: Imbrasus River
Triple: [Imbrasos River, hasAlternativeName, Imbrasus River]
Generated description
The Imbrasus River is an ancient river of the island of Samos in Greece, frequently mentioned in Greek mythology and classical literature.

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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc69f1481908717ae77e60d9658 completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a8c2cc68c81908e33c7948dd27653 completed Aug. 11, 2026, 2:42 a.m.
NEDg Description generation batch_6a7a8cdd1d848190b4c35bc5bb25be5b completed Aug. 11, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_6a7a8d4beb408190b15e004b2813c7bb completed Aug. 11, 2026, 2:47 a.m.
Created at: April 27, 2026, 12:47 p.m.