Triple

T28947606
Position Surface form Disambiguated ID Type / Status
Subject Zarrineh River E730921 entity
Predicate hasAlternativeName P39 FINISHED
Object Jaghatu River
The Jaghatu River, also known as the Zarrineh River, is a significant watercourse in western Iran that serves as an important tributary to Lake Urmia and supports regional agriculture and settlements.
E2288227 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: Jaghatu River | Statement: [Zarrineh River, hasAlternativeName, Jaghatu 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: Jaghatu River
Triple: [Zarrineh River, hasAlternativeName, Jaghatu River]
Generated description
The Jaghatu River, also known as the Zarrineh River, is a significant watercourse in western Iran that serves as an important tributary to Lake Urmia and supports regional agriculture and settlements.

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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65b898a4081909a48fc91e1a1311c completed May 2, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a75e3a9f88190bd5d8f1ec1353528 completed July 17, 2026, 6:35 p.m.
NEDg Description generation batch_6a5a76c2f6848190a0f761f4e7d2d0cc completed July 17, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a5a77d8232c8190ad80eb4690ede44f completed July 17, 2026, 6:43 p.m.
Created at: April 28, 2026, 8:41 a.m.