Triple
T10930849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Asturias |
E258200
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Colonia Tránsito |
E50660
|
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: Colonia Tránsito | Statement: [Colonia Asturias, adjacentTo, Colonia Tránsito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colonia Tránsito Context triple: [Colonia Asturias, adjacentTo, Colonia Tránsito]
-
A.
Colonia Tránsito
chosen
Colonia Tránsito is a neighborhood in central Mexico City located within the Cuauhtémoc borough, known for its urban residential character and proximity to the historic downtown area.
-
B.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
-
C.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
D.
Colonia Doctores
Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
-
E.
Colonia Jardín
Colonia Jardín is a transport hub and neighborhood in Madrid, Spain, known for its metro and light rail connections linking the city with nearby suburbs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709f92088190a15ae3638d3b14fb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d710f65c8190a4ef17a6d90a19d2 |
completed | April 18, 2026, 12:57 a.m. |
Created at: April 8, 2026, 9:22 p.m.