Triple
T18311439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misiones Department |
E438633
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Santa María
Santa María is a small town in the Misiones Department of Paraguay, known for its historical Jesuit mission heritage and rural character.
|
E1317637
|
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 María | Statement: [Misiones Department, hasSettlement, Santa María]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa María Context triple: [Misiones Department, hasSettlement, Santa María]
-
A.
Santa María
Santa María is a large stratovolcano in Guatemala known for its catastrophic 1902 eruption and ongoing activity at its Santiaguito lava dome complex.
-
B.
Santa María
Santa María is a small Chilean city and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
-
C.
Santa María
Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
-
D.
Santa María
Santa María is a town in northwestern Argentina known as an agricultural and archaeological center in the Calchaquí Valley region of Catamarca Province.
-
E.
Santa María
Santa María is a city in northern Nicaragua that serves as one of the principal urban centers of the Nueva Segovia Department.
- 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 María Triple: [Misiones Department, hasSettlement, Santa María]
Generated description
Santa María is a small town in the Misiones Department of Paraguay, known for its historical Jesuit mission heritage and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa María Target entity description: Santa María is a small town in the Misiones Department of Paraguay, known for its historical Jesuit mission heritage and rural character.
-
A.
Santa María
Santa María is a town in northwestern Argentina known as an agricultural and archaeological center in the Calchaquí Valley region of Catamarca Province.
-
B.
Santa María
Santa María is a small Chilean city and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
-
C.
Santa María
Santa María is a city in northern Nicaragua that serves as one of the principal urban centers of the Nueva Segovia Department.
-
D.
Santa María
Santa María is a large stratovolcano in Guatemala known for its catastrophic 1902 eruption and ongoing activity at its Santiaguito lava dome complex.
-
E.
Santa María
Santa María is a Spanish-language surname of likely Iberian origin, borne by various notable individuals and families in the Spanish-speaking world.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb6640e88190bed9e233fc14ecec |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcc98f6081908d85c0f08cea8f5d |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c062f9088190aef638dfc212d283 |
completed | May 13, 2026, 12:05 a.m. |
Created at: April 10, 2026, 10:36 a.m.