Triple
T11248125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morazán Department |
E266259
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Jocoro
Jocoro is a small town in eastern El Salvador known for its rural character and location within the Morazán Department.
|
E914091
|
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: Jocoro | Statement: [Morazán Department, containsSettlement, Jocoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocoro Context triple: [Morazán Department, containsSettlement, Jocoro]
-
A.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
B.
Sapajus
Sapajus is a genus of robust capuchin monkeys native to Central and South America, known for their high intelligence, tool use, and complex social behavior.
-
C.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
D.
Vicuña Mackenna
Vicuña Mackenna is a mountain peak in Chile’s Atacama Desert, notable as one of the highest summits in the coastal mountain range.
-
E.
Vicuña Mackenna
Vicuña Mackenna is a Chilean surname most prominently associated with Benjamín Vicuña Mackenna, a 19th-century politician, historian, and intellectual.
- 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: Jocoro Triple: [Morazán Department, containsSettlement, Jocoro]
Generated description
Jocoro is a small town in eastern El Salvador known for its rural character and location within the Morazán Department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jocoro Target entity description: Jocoro is a small town in eastern El Salvador known for its rural character and location within the Morazán Department.
-
A.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
B.
Sapajus
Sapajus is a genus of robust capuchin monkeys native to Central and South America, known for their high intelligence, tool use, and complex social behavior.
-
C.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
D.
Vicuña Mackenna
Vicuña Mackenna is a mountain peak in Chile’s Atacama Desert, notable as one of the highest summits in the coastal mountain range.
-
E.
Vicuña Mackenna
Vicuña Mackenna is a Chilean surname most prominently associated with Benjamín Vicuña Mackenna, a 19th-century politician, historian, and intellectual.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91d1484819098ee6b2efb5316a5 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc69402c8190be8785f892a41c7b |
completed | April 19, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69e4d9eb79608190b7ed108906f4e2bf |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4df50eebc8190a4fe0aba7dc9fa62 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.