Triple
T6630537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manacor |
E149911
|
entity |
| Predicate | hasLocalLanguageVariant |
P21937
|
FINISHED |
| Object |
Mallorquí
Mallorquí is a regional variety of the Catalan language traditionally spoken in parts of the island of Mallorca, including the area around Manacor.
|
E601258
|
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: Mallorquí | Statement: [Manacor, hasLocalLanguageVariant, Mallorquí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallorquí Context triple: [Manacor, hasLocalLanguageVariant, Mallorquí]
-
A.
Mallorca
Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
-
B.
Corbera d'Ebre
Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
-
C.
Calvià
Calvià is a coastal municipality on the Spanish island of Mallorca, known for its popular tourist resorts and Mediterranean beaches.
-
D.
Puig Morei
Puig Morei is the highest peak of the Serra de Llevant mountain range on the island of Mallorca, Spain.
-
E.
Minorca
Minorca is one of Spain’s Balearic Islands in the Mediterranean Sea, known for its natural harbors, beaches, and historical strategic importance.
- 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: Mallorquí Triple: [Manacor, hasLocalLanguageVariant, Mallorquí]
Generated description
Mallorquí is a regional variety of the Catalan language traditionally spoken in parts of the island of Mallorca, including the area around Manacor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mallorquí Target entity description: Mallorquí is a regional variety of the Catalan language traditionally spoken in parts of the island of Mallorca, including the area around Manacor.
-
A.
Mallorca
Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
-
B.
Corbera d'Ebre
Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
-
C.
Calvià
Calvià is a coastal municipality on the Spanish island of Mallorca, known for its popular tourist resorts and Mediterranean beaches.
-
D.
Puig Morei
Puig Morei is the highest peak of the Serra de Llevant mountain range on the island of Mallorca, Spain.
-
E.
Minorca
Minorca is one of Spain’s Balearic Islands in the Mediterranean Sea, known for its natural harbors, beaches, and historical strategic importance.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa5c9b48190b645be96d446d0ca |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbeef9f48190aea2e97a1f8735ee |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cdc0a90c81909ed2b661320135b3 |
completed | March 27, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:59 p.m.