Triple
T14794826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldas |
E347746
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Eje Cafetero (Coffee Axis) |
E371825
|
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: Eje Cafetero (Coffee Axis) | Statement: [Caldas, partOf, Eje Cafetero (Coffee Axis)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eje Cafetero (Coffee Axis) Context triple: [Caldas, partOf, Eje Cafetero (Coffee Axis)]
-
A.
Eje Cafetero (Coffee-Growers Axis)
Eje Cafetero (Coffee-Growers Axis) is a mountainous region in central Colombia renowned for its coffee plantations, cultural landscapes, and role as the heart of the country’s coffee production.
-
B.
Eje Cafetero
chosen
Eje Cafetero is a mountainous region in central Colombia renowned for its coffee plantations, lush landscapes, and role as the heart of the country’s coffee production and culture.
-
C.
Eje 3 Sur
Eje 3 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
D.
Eje 5 Sur
Eje 5 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
E.
Eje 10 Sur
Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bea4408190975f4856cc02580e |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.