Triple
T8309715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumapaz Province |
E194559
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Arbeláez
Arbeláez is a municipality in the Cundinamarca Department of Colombia, known for its mountainous landscapes and agricultural activities.
|
E734715
|
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: Arbeláez | Statement: [Sumapaz Province, contains, Arbeláez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbeláez Context triple: [Sumapaz Province, contains, Arbeláez]
-
A.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
C.
Carballal
Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
-
D.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
E.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
- 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: Arbeláez Triple: [Sumapaz Province, contains, Arbeláez]
Generated description
Arbeláez is a municipality in the Cundinamarca Department of Colombia, known for its mountainous landscapes and agricultural activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arbeláez Target entity description: Arbeláez is a municipality in the Cundinamarca Department of Colombia, known for its mountainous landscapes and agricultural activities.
-
A.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
C.
Carballal
Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
-
D.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
E.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1ce5a0c881909ee517678cdc4ef2 |
completed | April 2, 2026, 7:38 a.m. |
| NEDg | Description generation | batch_69ce1ebf0f808190846f70438f45afbf |
completed | April 2, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f68aa04819081538dda256f4169 |
completed | April 2, 2026, 7:48 a.m. |
Created at: March 30, 2026, 5:54 p.m.