Triple

T35732131
Position Surface form Disambiguated ID Type / Status
Subject Villa Cura Brochero E1032784 entity
Predicate hasRiver P165 FINISHED
Object Río Panaholma
Río Panaholma is a river in Córdoba Province, Argentina, known for flowing through the Traslasierra Valley and the town of Villa Cura Brochero, where it is popular for recreation and tourism.
E2290763 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: Río Panaholma | Statement: [Villa Cura Brochero, hasRiver, Río Panaholma]
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: Río Panaholma
Triple: [Villa Cura Brochero, hasRiver, Río Panaholma]
Generated description
Río Panaholma is a river in Córdoba Province, Argentina, known for flowing through the Traslasierra Valley and the town of Villa Cura Brochero, where it is popular for recreation and tourism.

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a13682c48190ab6d983e1ff364a8 completed May 3, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5bf7d9edf081908bdea37ba76b292e completed July 18, 2026, 10:02 p.m.
NEDg Description generation batch_6a5bf87502c481908c674540f2536faa completed July 18, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_6a5bf8ce6bd08190be5b190cf914a30e completed July 18, 2026, 10:06 p.m.
Created at: May 3, 2026, 4:05 p.m.