Triple

T27757231
Position Surface form Disambiguated ID Type / Status
Subject El Poblado E701364 entity
Predicate hasPart P35 FINISHED
Object La 33 (Calle 33) section in its area
La 33 (Calle 33) section in its area is a well-known commercial and nightlife corridor within Medellín’s upscale El Poblado district, recognized for its bars, restaurants, and entertainment venues.
 E1789493 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: La 33 (Calle 33) section in its area | Statement: [El Poblado, hasPart, La 33 (Calle 33) section in its area]
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: La 33 (Calle 33) section in its area
Triple: [El Poblado, hasPart, La 33 (Calle 33) section in its area]
Generated description
La 33 (Calle 33) section in its area is a well-known commercial and nightlife corridor within Medellín’s upscale El Poblado district, recognized for its bars, restaurants, and entertainment venues.

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_69ef6a5193808190816eb7d0020b2d87 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637629edc8190a3268b23372cd2ad completed May 2, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecafa55c8190bde7ca72201d94b1 completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed678580819082d28135e3fcb818 completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef15e2c819099088626fb78adce completed May 24, 2026, 12:28 p.m.
Created at: April 27, 2026, 4:24 p.m.