Triple

T31637902
Position Surface form Disambiguated ID Type / Status
Subject Tacna Region E807362 entity
Predicate hasRiver P165 FINISHED
Object Sama River
The Sama River is a coastal river in southern Peru that flows through the Tacna Region toward the Pacific Ocean, supporting local agriculture in an otherwise arid area.
 E2295960 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: Sama River | Statement: [Tacna Region, hasRiver, Sama 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: Sama River
Triple: [Tacna Region, hasRiver, Sama River]
Generated description
The Sama River is a coastal river in southern Peru that flows through the Tacna Region toward the Pacific Ocean, supporting local agriculture in an otherwise arid area.

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_69f348d892948190915f8facacb9568c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a9188ad88190a84a1aac280d3d3c completed May 3, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82146553e4819097a35796d632e285 completed Aug. 16, 2026, 7:49 p.m.
NEDg Description generation batch_6a82151018008190b1c6a78339b0fa16 completed Aug. 16, 2026, 7:52 p.m.
NED2 Entity disambiguation (via description) batch_6a82156293248190a101018de1eb90b0 completed Aug. 16, 2026, 7:54 p.m.
Created at: April 30, 2026, 10:48 p.m.