Triple

T21658843
Position Surface form Disambiguated ID Type / Status
Subject Olancho Department E534539 entity
Predicate hasRiver P165 FINISHED
Object Guayambre River
The Guayambre River is a waterway in eastern Honduras that flows through the Olancho Department and contributes to the region’s drainage and local ecosystems.
 E1852152 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: Guayambre River | Statement: [Olancho Department, hasRiver, Guayambre 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: Guayambre River
Triple: [Olancho Department, hasRiver, Guayambre River]
Generated description
The Guayambre River is a waterway in eastern Honduras that flows through the Olancho Department and contributes to the region’s drainage and local ecosystems.

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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c05a8d881909f747635bdb4ef09 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2550275dfc8190a49811931904c7f6 completed June 7, 2026, 11:04 a.m.
NEDg Description generation batch_6a2554568f388190960bbfb09ed37b1d completed June 7, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e91cc0819081c9baa7e53d6f7e completed June 7, 2026, 11:41 a.m.
Created at: April 16, 2026, 6:36 p.m.