Triple

T27264495
Position Surface form Disambiguated ID Type / Status
Subject San Javier station E687860 entity
Predicate hasConnection P8776 FINISHED
Object Metrocable Line K terminal
The Metrocable Line K terminal is the upper cable car station in Medellín’s hillside network that connects with the San Javier metro station, serving as a key access point for residents of the surrounding comunas.
E1765830 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: Metrocable Line K terminal | Statement: [San Javier station, hasConnection, Metrocable Line K terminal]
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: Metrocable Line K terminal
Triple: [San Javier station, hasConnection, Metrocable Line K terminal]
Generated description
The Metrocable Line K terminal is the upper cable car station in Medellín’s hillside network that connects with the San Javier metro station, serving as a key access point for residents of the surrounding comunas.

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_69ef3557abc481908bf3c146f0f3356a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626f1fcec81909c542acb032e81fb completed May 2, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c9fb120819091d83bb685c98626 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129df2f3f08190a92f82754b29a06a completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e7b3f508190b7cc7b6f40177927 completed May 24, 2026, 6:45 a.m.
Created at: April 27, 2026, 10:54 a.m.