Triple
T1558516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirana |
E33263
|
entity |
| Predicate | hasFootballClub |
P346
|
FINISHED |
| Object |
KF Tirana
KF Tirana is one of Albania’s most successful and historic football clubs, based in the capital city of Tirana.
|
E177269
|
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: KF Tirana | Statement: [Tirana, hasFootballClub, KF Tirana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KF Tirana Context triple: [Tirana, hasFootballClub, KF Tirana]
-
A.
FK Sarajevo
FK Sarajevo is a prominent professional football club from Bosnia and Herzegovina, based in the capital city of Sarajevo and known for its success and passionate fan base.
-
B.
FC Prishtina
FC Prishtina is a professional football club based in Pristina, Kosovo, known as one of the country’s most successful and popular teams.
-
C.
FK Željezničar Sarajevo
FK Željezničar Sarajevo is a prominent Bosnian professional football club based in Sarajevo, known for its rich history and passionate fan base.
-
D.
NK Lokomotiva
NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
-
E.
KK Partizan
KK Partizan is a prominent Serbian professional basketball club based in Belgrade, renowned for its success in domestic and European competitions.
- 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: KF Tirana Triple: [Tirana, hasFootballClub, KF Tirana]
Generated description
KF Tirana is one of Albania’s most successful and historic football clubs, based in the capital city of Tirana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KF Tirana Target entity description: KF Tirana is one of Albania’s most successful and historic football clubs, based in the capital city of Tirana.
-
A.
FK Sarajevo
FK Sarajevo is a prominent professional football club from Bosnia and Herzegovina, based in the capital city of Sarajevo and known for its success and passionate fan base.
-
B.
FC Prishtina
FC Prishtina is a professional football club based in Pristina, Kosovo, known as one of the country’s most successful and popular teams.
-
C.
FK Željezničar Sarajevo
FK Željezničar Sarajevo is a prominent Bosnian professional football club based in Sarajevo, known for its rich history and passionate fan base.
-
D.
NK Lokomotiva
NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
-
E.
KK Partizan
KK Partizan is a prominent Serbian professional basketball club based in Belgrade, renowned for its success in domestic and European competitions.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3710688c8190a280f03bced5601f |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad3812855881909b571d6a7a96d524 |
completed | March 8, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38a4017c8190b2c5f1f0d1d9b5a5 |
completed | March 8, 2026, 8:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.