Triple

T27790275
Position Surface form Disambiguated ID Type / Status
Subject Parque El Gallineral E701059 entity
Predicate locatedOnWaterway P4361 FINISHED
Object Río Fonce
Río Fonce is a river in the Santander department of Colombia, known for flowing through the tourist town of San Gil and serving as a popular site for water sports such as rafting and kayaking.
E1826859 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 Fonce | Statement: [Parque El Gallineral, locatedOnWaterway, Río Fonce]
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 Fonce
Triple: [Parque El Gallineral, locatedOnWaterway, Río Fonce]
Generated description
Río Fonce is a river in the Santander department of Colombia, known for flowing through the tourist town of San Gil and serving as a popular site for water sports such as rafting and kayaking.

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_69ef6a50d8088190acbf3dfbb06d8091 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63807606881908a3ae90fa219eebb completed May 2, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc354b09081908028ea50a4275d6d completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc3c360808190a2961b3e0a3c839f completed May 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc45223488190a914244c6245a86f completed May 31, 2026, 11:29 p.m.
Created at: April 27, 2026, 5:27 p.m.