Triple
T17829156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Department |
E445202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Carmen del Sauce
Carmen del Sauce is a small town located in the Rosario Department of the Santa Fe Province in Argentina.
|
E1291453
|
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: Carmen del Sauce | Statement: [Rosario Department, contains, Carmen del Sauce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen del Sauce Context triple: [Rosario Department, contains, Carmen del Sauce]
-
A.
Carmen de Carupa
Carmen de Carupa is a small Colombian municipality located in the highland Ubaté Valley, known for its cool climate and agricultural production.
-
B.
Carmencita
Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Del Carmen
Del Carmen is a coastal municipality on Siargao Island in the Philippines, known for its mangrove forests and access to popular surfing and island-hopping destinations.
-
E.
Carmen de la Victoria
Carmen de la Victoria is a historic Andalusian house and garden complex in Granada that serves as a cultural and residential space associated with the University of Granada.
- 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: Carmen del Sauce Triple: [Rosario Department, contains, Carmen del Sauce]
Generated description
Carmen del Sauce is a small town located in the Rosario Department of the Santa Fe Province in Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmen del Sauce Target entity description: Carmen del Sauce is a small town located in the Rosario Department of the Santa Fe Province in Argentina.
-
A.
Carmen de Carupa
Carmen de Carupa is a small Colombian municipality located in the highland Ubaté Valley, known for its cool climate and agricultural production.
-
B.
Carmencita
Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Del Carmen
Del Carmen is a coastal municipality on Siargao Island in the Philippines, known for its mangrove forests and access to popular surfing and island-hopping destinations.
-
E.
Carmen de la Victoria
Carmen de la Victoria is a historic Andalusian house and garden complex in Granada that serves as a cultural and residential space associated with the University of Granada.
- 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_6a0306f3b0b881909b460809ac3ada92 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a030986606c819099a8ea86a3ef1c26 |
completed | May 12, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0309e9e0108190bc1f60ddacef20cc |
completed | May 12, 2026, 11:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.