Triple

T35643681
Position Surface form Disambiguated ID Type / Status
Subject Kuang Si River E1029946 entity
Predicate drainageBasin P1559 FINISHED
Object Mekong drainage basin
The Mekong drainage basin is the vast watershed of the Mekong River, spanning multiple countries in Southeast Asia and supporting diverse ecosystems, agriculture, and millions of people.
 E2154115 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: Mekong drainage basin | Statement: [Kuang Si River, drainageBasin, Mekong drainage basin]
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: Mekong drainage basin
Triple: [Kuang Si River, drainageBasin, Mekong drainage basin]
Generated description
The Mekong drainage basin is the vast watershed of the Mekong River, spanning multiple countries in Southeast Asia and supporting diverse ecosystems, agriculture, and millions of people.

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_69f76e087bdc8190a4794bf9c0bd7634 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f4d48548190a2b332aefc390b01 completed May 3, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885df5efc8190a390cd65102602cd completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3886a802f88190a50eb9f09a4f35ed completed June 22, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a388740c49481909013908cb9357daa completed June 22, 2026, 12:52 a.m.
Created at: May 3, 2026, 4:05 p.m.