Triple
T7792840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinamo Tirana |
E180222
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Blutë
Blutë is the Albanian nickname for the football club Dinamo Tirana, commonly translated as "The Blues."
|
E693920
|
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: Blutë | Statement: [Dinamo Tirana, nickname, Blutë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blutë Context triple: [Dinamo Tirana, nickname, Blutë]
-
A.
Bardheblutë
Bardheblutë is the traditional Albanian nickname for KF Tirana, referring to the club’s white-and-blue colors and identity.
-
B.
De Amert
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
-
C.
Kabale
Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
-
D.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
-
E.
Malèna
Malèna is a 2000 Italian coming-of-age drama film directed by Giuseppe Tornatore, known for its poignant portrayal of a beautiful war widow observed through the eyes of a young boy in World War II Sicily.
- 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: Blutë Triple: [Dinamo Tirana, nickname, Blutë]
Generated description
Blutë is the Albanian nickname for the football club Dinamo Tirana, commonly translated as "The Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blutë Target entity description: Blutë is the Albanian nickname for the football club Dinamo Tirana, commonly translated as "The Blues."
-
A.
Bardheblutë
Bardheblutë is the traditional Albanian nickname for KF Tirana, referring to the club’s white-and-blue colors and identity.
-
B.
De Amert
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
-
C.
Kabale
Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
-
D.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
-
E.
Malèna
Malèna is a 2000 Italian coming-of-age drama film directed by Giuseppe Tornatore, known for its poignant portrayal of a beautiful war widow observed through the eyes of a young boy in World War II Sicily.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae938714c8190b89917e6ded004da |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13cdb4288190ae3cfe1ee4e3e496 |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1636b0d48190a57c2d3a7b3b41ed |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a29d2988190bb64aada0d2ef463 |
completed | March 31, 2026, 12:49 a.m. |
Created at: March 30, 2026, 4:31 p.m.