Triple
T15094039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aburrá Metropolitan Area |
E360491
|
entity |
| Predicate | hasPublicTransportSystem |
P474
|
FINISHED |
| Object |
Metroplús
Metroplús is a bus rapid transit system serving the Aburrá Valley region in and around Medellín, Colombia.
|
E1137711
|
NE FINISHED |
How this triple was built (4 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: Metroplús | Statement: [Aburrá Metropolitan Area, hasPublicTransportSystem, Metroplús]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metroplús Context triple: [Aburrá Metropolitan Area, hasPublicTransportSystem, Metroplús]
-
A.
Metropoliten JSC
Metropoliten JSC is the municipal company responsible for operating and managing the Sofia Metro rapid transit system in Bulgaria’s capital.
-
B.
Metropolitano
Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
-
C.
Metro Inc.
Metro Inc. is a major Canadian food and pharmacy retailer operating supermarket and drugstore chains primarily in Quebec and Ontario.
-
D.
Mosgortrans
Mosgortrans is the main state-owned public transport company in Moscow, responsible for operating much of the city’s surface transit system including buses, trams, and trolleybuses.
-
E.
Metropolitana
Metropolitana is the principal coastal metropolitan region of the Brazilian state of Espírito Santo, encompassing its capital and surrounding urban areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Metroplús Triple: [Aburrá Metropolitan Area, hasPublicTransportSystem, Metroplús]
Generated description
Metroplús is a bus rapid transit system serving the Aburrá Valley region in and around Medellín, Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metroplús Target entity description: Metroplús is a bus rapid transit system serving the Aburrá Valley region in and around Medellín, Colombia.
-
A.
Metropoliten JSC
Metropoliten JSC is the municipal company responsible for operating and managing the Sofia Metro rapid transit system in Bulgaria’s capital.
-
B.
Metropolitano
Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
-
C.
Metro Inc.
Metro Inc. is a major Canadian food and pharmacy retailer operating supermarket and drugstore chains primarily in Quebec and Ontario.
-
D.
Mosgortrans
Mosgortrans is the main state-owned public transport company in Moscow, responsible for operating much of the city’s surface transit system including buses, trams, and trolleybuses.
-
E.
Metropolitana
Metropolitana is the principal coastal metropolitan region of the Brazilian state of Espírito Santo, encompassing its capital and surrounding urban areas.
- F. None of above. chosen
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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1f406081909d4925474370da86 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb2e869808190b691d95531dc7447 |
completed | May 9, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb3a61e008190aff906cae172a744 |
completed | May 9, 2026, 4:10 a.m. |
Created at: April 10, 2026, 3:04 a.m.