Triple
T18622626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yauli Province |
E455193
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Santa Rosa de Sacco
Santa Rosa de Sacco is a town in central Peru located in the Andean highlands of the Junín region.
|
E1334873
|
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: Santa Rosa de Sacco | Statement: [Yauli Province, hasSettlement, Santa Rosa de Sacco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa de Sacco Context triple: [Yauli Province, hasSettlement, Santa Rosa de Sacco]
-
A.
Santa Ines
Santa Ines is a barangay (village-level administrative division) within the municipality of Santa Ignacia in the Philippines.
-
B.
Santa Felicita
Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
-
C.
Santa Felicita
Santa Felicita is a historic Roman Catholic church in Florence, Italy, noted for its Renaissance art and architecture.
-
D.
Santa Rosa de Lima
Santa Rosa de Lima is a 17th-century Peruvian mystic and member of the Dominican Order venerated as the first canonized saint of the Americas and the patron saint of Peru and Latin America.
-
E.
San Rosendo
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
- 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: Santa Rosa de Sacco Triple: [Yauli Province, hasSettlement, Santa Rosa de Sacco]
Generated description
Santa Rosa de Sacco is a town in central Peru located in the Andean highlands of the Junín region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa de Sacco Target entity description: Santa Rosa de Sacco is a town in central Peru located in the Andean highlands of the Junín region.
-
A.
Santa Ines
Santa Ines is a barangay (village-level administrative division) within the municipality of Santa Ignacia in the Philippines.
-
B.
Santa Felicita
Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
-
C.
Santa Felicita
Santa Felicita is a historic Roman Catholic church in Florence, Italy, noted for its Renaissance art and architecture.
-
D.
Santa Rosa de Lima
Santa Rosa de Lima is a 17th-century Peruvian mystic and member of the Dominican Order venerated as the first canonized saint of the Americas and the patron saint of Peru and Latin America.
-
E.
San Rosendo
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d765bb081908aab41aa6bb97fe4 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f6306ac8190aa4d72627345cf55 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ff68a7c8190bf82d00370f4b1d4 |
completed | May 13, 2026, 11:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.