Triple
T10587607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Colón de Toledo |
E249893
|
entity |
| Predicate | historicalRegionOfActivity |
P13711
|
FINISHED |
| Object | Veragua |
E810087
|
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: Veragua | Statement: [Luis Colón de Toledo, historicalRegionOfActivity, Veragua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veragua Context triple: [Luis Colón de Toledo, historicalRegionOfActivity, Veragua]
-
A.
Veragua
chosen
Veragua was a historical territory in Central America associated with the hereditary dukedom granted to the descendants of Christopher Columbus under the title Duke of Veragua.
-
B.
Tocaima
Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
-
C.
Chinchiná
Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
-
D.
Marulanda
Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
-
E.
Columbio
Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b9440548190bff01847a940266b |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:40 p.m.