Triple

T37119760
Position Surface form Disambiguated ID Type / Status
Subject Colombian Andes river system E919213 entity
Predicate hasPart P35 FINISHED
Object Dagua River
The Dagua River is a significant waterway in western Colombia that flows from the Andes toward the Pacific coast, playing an important role in the region’s ecology and local communities.
 E2283565 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: Dagua River | Statement: [Colombian Andes river system, hasPart, Dagua 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: Dagua River
Triple: [Colombian Andes river system, hasPart, Dagua River]
Generated description
The Dagua River is a significant waterway in western Colombia that flows from the Andes toward the Pacific coast, playing an important role in the region’s ecology and local communities.

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_69f76e9c57148190ba789dd059645bb9 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb301963548190a0fa95d4218a39f3 completed May 6, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a425eb829e08190b149584323b9a99f completed June 29, 2026, 12:02 p.m.
NEDg Description generation batch_6a425fc6d9e88190b317ef2f38e63fb5 completed June 29, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a426027e0e48190a46129307bd022a7 completed June 29, 2026, 12:08 p.m.
Created at: May 3, 2026, 4:15 p.m.