Triple

T30358821
Position Surface form Disambiguated ID Type / Status
Subject Ibagué E772216 entity
Predicate river P165 FINISHED
Object Combeima River
The Combeima River is a waterway in central Colombia that flows through the city of Ibagué and the surrounding Andean landscapes of the Tolima department.
 E2294298 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: Combeima River | Statement: [Ibagué, river, Combeima 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: Combeima River
Triple: [Ibagué, river, Combeima River]
Generated description
The Combeima River is a waterway in central Colombia that flows through the city of Ibagué and the surrounding Andean landscapes of the Tolima department.

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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f682417ec08190982dd9acf7219742 completed May 2, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bce8f36fc8190b55049de85450b3f completed Aug. 12, 2026, 1:38 a.m.
NEDg Description generation batch_6a7bceff51c08190a78312e1b3801630 completed Aug. 12, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a7bcfd875e88190bfb74dccc6230b9c completed Aug. 12, 2026, 1:43 a.m.
Created at: April 29, 2026, 7:57 p.m.