Triple
T17829146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Department |
E445202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ibarlucea
Ibarlucea is a small town in the province of Santa Fe, Argentina, located near the city of Rosario.
|
E1294393
|
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: Ibarlucea | Statement: [Rosario Department, contains, Ibarlucea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibarlucea Context triple: [Rosario Department, contains, Ibarlucea]
-
A.
Yrisarri
Yrisarri is a small unincorporated community located in Torrance County, New Mexico.
-
B.
Rabassa
Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
-
C.
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.
-
D.
Ibora
Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
-
E.
Arriaga
Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
- 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: Ibarlucea Triple: [Rosario Department, contains, Ibarlucea]
Generated description
Ibarlucea is a small town in the province of Santa Fe, Argentina, located near the city of Rosario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibarlucea Target entity description: Ibarlucea is a small town in the province of Santa Fe, Argentina, located near the city of Rosario.
-
A.
Yrisarri
Yrisarri is a small unincorporated community located in Torrance County, New Mexico.
-
B.
Rabassa
Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
-
C.
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.
-
D.
Ibora
Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
-
E.
Arriaga
Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313b707048190847024da11394ed3 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a03178c8b6481909a9c25e82609cba2 |
completed | May 12, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0317d7493081909022cfd6ffeb4fd4 |
completed | May 12, 2026, 12:06 p.m. |
Created at: April 10, 2026, 10:15 a.m.