Triple
T1548846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldas Department |
E33040
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
|
E188428
|
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: Supía | Statement: [Caldas Department, hasCity, Supía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supía Context triple: [Caldas Department, hasCity, Supía]
-
A.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
B.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
C.
Capurro
Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
-
D.
Soatá
Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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: Supía Triple: [Caldas Department, hasCity, Supía]
Generated description
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Supía Target entity description: Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
-
A.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
B.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
C.
Capurro
Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
-
D.
Soatá
Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90856642c81909d88a679eb265b10 |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad68079e448190b71c2cd194abeb86 |
completed | March 8, 2026, 12:13 p.m. |
| NEDg | Description generation | batch_69ad68b5e934819086a8383b4f0b8ab5 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad691acb8481908687f640e9f632ea |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:26 p.m.