Triple

T34190248
Position Surface form Disambiguated ID Type / Status
Subject Tariku River E877083 entity
Predicate hasAlternativeName P39 FINISHED
Object Rouffaer River
The Rouffaer River is a major river in the Indonesian province of Papua, flowing through remote, forested regions of New Guinea.
 E2296205 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: Rouffaer River | Statement: [Tariku River, hasAlternativeName, Rouffaer 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: Rouffaer River
Triple: [Tariku River, hasAlternativeName, Rouffaer River]
Generated description
The Rouffaer River is a major river in the Indonesian province of Papua, flowing through remote, forested regions of New Guinea.

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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710240640819087919759ec52e4bd completed May 3, 2026, 9:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a824a2c49c08190b5a532fb1fee5572 completed Aug. 16, 2026, 11:39 p.m.
NEDg Description generation batch_6a824ab421948190b16ec03c51d15182 completed Aug. 16, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a824b06366c8190af7ea128b6d30573 completed Aug. 16, 2026, 11:43 p.m.
Created at: May 1, 2026, 1:55 a.m.