Triple
T1148909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirandese language |
E23629
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
mirandés
mirandés is a Romance language spoken in northeastern Portugal, recognized as a co-official regional language and closely related to Astur-Leonese.
|
E131573
|
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: mirandés | Statement: [Mirandese language, nativeName, mirandés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mirandés Context triple: [Mirandese language, nativeName, mirandés]
-
A.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
-
D.
Boyeros
Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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: mirandés Triple: [Mirandese language, nativeName, mirandés]
Generated description
mirandés is a Romance language spoken in northeastern Portugal, recognized as a co-official regional language and closely related to Astur-Leonese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: mirandés Target entity description: mirandés is a Romance language spoken in northeastern Portugal, recognized as a co-official regional language and closely related to Astur-Leonese.
-
A.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
-
D.
Boyeros
Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc7190308190ab104480ed208b22 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb3ec3881908c8cb39b422fcc71 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f248db081908596810839ee6160 |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5fb242488190bf99f63956aeda13 |
completed | March 7, 2026, 5:26 p.m. |
Created at: March 1, 2026, 7:44 p.m.