Triple

T30419078
Position Surface form Disambiguated ID Type / Status
Subject Pediaios River E773843 entity
Predicate alsoKnownAs P39 FINISHED
Object Pediaeus River
The Pediaeus River is a historically significant river in Cyprus that flows through the capital city of Nicosia before reaching the Mesaoria plain.
 E2295255 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: Pediaeus River | Statement: [Pediaios River, alsoKnownAs, Pediaeus 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: Pediaeus River
Triple: [Pediaios River, alsoKnownAs, Pediaeus River]
Generated description
The Pediaeus River is a historically significant river in Cyprus that flows through the capital city of Nicosia before reaching the Mesaoria plain.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6864cd7548190b3e12ef2fe253ad8 completed May 2, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d29b1868c81909562d457981f2965 completed Aug. 13, 2026, 2:19 a.m.
NEDg Description generation batch_6a7d29fdf5408190afe8d07f81347c78 completed Aug. 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_6a7d2a18c0488190ac9168bbde43628b completed Aug. 13, 2026, 2:21 a.m.
Created at: April 29, 2026, 8:05 p.m.