Triple
T16203884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Furiani-Montésoro |
E393270
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Montésoro
Montésoro is a commune in the Haute-Corse department on the island of Corsica in France.
|
E1198801
|
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: Montésoro | Statement: [canton of Furiani-Montésoro, containsCommune, Montésoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montésoro Context triple: [canton of Furiani-Montésoro, containsCommune, Montésoro]
-
A.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
B.
San Miguel de los Bancos
San Miguel de los Bancos is a small town and canton seat in Ecuador’s Andean region, known for its lush cloud forests and role as a gateway between Quito and the coastal lowlands.
-
C.
Montecristi
Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
-
D.
Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
-
E.
Monteros
Monteros is a city in northwestern Argentina located in Tucumán Province, known for its agricultural production and proximity to the Aconquija mountain range.
- 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: Montésoro Triple: [canton of Furiani-Montésoro, containsCommune, Montésoro]
Generated description
Montésoro is a commune in the Haute-Corse department on the island of Corsica in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montésoro Target entity description: Montésoro is a commune in the Haute-Corse department on the island of Corsica in France.
-
A.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
B.
San Miguel de los Bancos
San Miguel de los Bancos is a small town and canton seat in Ecuador’s Andean region, known for its lush cloud forests and role as a gateway between Quito and the coastal lowlands.
-
C.
Montecristi
Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
-
D.
Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
-
E.
Monteros
Monteros is a city in northwestern Argentina located in Tucumán Province, known for its agricultural production and proximity to the Aconquija mountain range.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270ca18c8190a259992aed4ec072 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff14b0988190bb4128b2e02aee32 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00003d347481908285b2253fd20ac1 |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000adc1b08190abbafcabb4ebc079 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.