Triple
T369775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TransMilenio |
E8241
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object | city of Bogotá |
E1526
|
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: city of Bogotá | Statement: [TransMilenio, governedBy, city of Bogotá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Bogotá Context triple: [TransMilenio, governedBy, city of Bogotá]
-
A.
Bogotá
chosen
Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
-
B.
Cali
Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
-
C.
Anapoima
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
-
D.
Cartagena, Colombia
Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
-
E.
Quito
Quito is the high-altitude Andean city that serves as Ecuador’s political and cultural center, renowned for its well-preserved colonial historic center and dramatic mountain setting.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebfdb0608190b1794a871d0d237a |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ad224588190a5648881c4319205 |
completed | March 1, 2026, 9:45 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.