Triple

T27010823
Position Surface form Disambiguated ID Type / Status
Subject Department of Tolima E680377 entity
Predicate hasNickname P39 FINISHED
Object Musical Heart of Colombia
Musical Heart of Colombia is a nickname highlighting Tolima’s rich musical traditions and its central role in Colombian folk music and culture.
E1750610 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: Musical Heart of Colombia | Statement: [Department of Tolima, hasNickname, Musical Heart of Colombia]
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: Musical Heart of Colombia
Triple: [Department of Tolima, hasNickname, Musical Heart of Colombia]
Generated description
Musical Heart of Colombia is a nickname highlighting Tolima’s rich musical traditions and its central role in Colombian folk music and culture.

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_69eeeb53939c8190bd431f32b060f01f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621d6eeb8819091c42b69b26b4d8a completed May 2, 2026, 4:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229c46770819096d028dac8bba146 completed May 23, 2026, 10:27 p.m.
NEDg Description generation batch_6a122a8570488190a59ab7f4422cc63d completed May 23, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a122af21ba88190b6779cd1c12861a1 completed May 23, 2026, 10:32 p.m.
Created at: April 27, 2026, 7:03 a.m.