Triple
T8528650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesar Department |
E201884
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Aguachica
Aguachica is a significant commercial and transportation hub in northeastern Colombia, located in the Cesar Department.
|
E741629
|
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: Aguachica | Statement: [Cesar Department, hasMajorCity, Aguachica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguachica Context triple: [Cesar Department, hasMajorCity, Aguachica]
-
A.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
B.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
-
C.
Riosucio
Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
-
D.
Noguera
Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
-
E.
Ocaña
Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
- 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: Aguachica Triple: [Cesar Department, hasMajorCity, Aguachica]
Generated description
Aguachica is a significant commercial and transportation hub in northeastern Colombia, located in the Cesar Department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aguachica Target entity description: Aguachica is a significant commercial and transportation hub in northeastern Colombia, located in the Cesar Department.
-
A.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
B.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
-
C.
Riosucio
Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
-
D.
Noguera
Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
-
E.
Ocaña
Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d5e5b58819095c1c915dfe27b52 |
completed | April 2, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69ce6ec1e74081908fc235ffd13ef301 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe13a00819095f5bec408435426 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:17 p.m.