Triple

T22914841
Position Surface form Disambiguated ID Type / Status
Subject Karakash River E568705 entity
Predicate alsoKnownAs P39 FINISHED
Object Karakax River
Karakax River is a river in Xinjiang, China, that flows northward from the Kunlun Mountains toward the Taklamakan Desert and has historically been part of important Silk Road routes.
 E1983689 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: Karakax River | Statement: [Karakash River, alsoKnownAs, Karakax 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: Karakax River
Triple: [Karakash River, alsoKnownAs, Karakax River]
Generated description
Karakax River is a river in Xinjiang, China, that flows northward from the Kunlun Mountains toward the Taklamakan Desert and has historically been part of important Silk Road routes.

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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18078077881908b8124cc22110c6e completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a08b790819098ebe9286e5ab111 completed June 14, 2026, 11:01 a.m.
NEDg Description generation batch_6a2e8ad753688190829398ff32cf09e8 completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b9c48a48190a1c5bef0fe49f633 completed June 14, 2026, 11:08 a.m.
Created at: April 17, 2026, 3:42 p.m.