Triple
T3518369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAE Pro League |
E74360
|
entity |
| Predicate | includesClub |
P6630
|
FINISHED |
| Object |
Ittihad Kalba
Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
|
E365864
|
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: Ittihad Kalba | Statement: [UAE Pro League, includesClub, Ittihad Kalba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ittihad Kalba Context triple: [UAE Pro League, includesClub, Ittihad Kalba]
-
A.
Abaji
Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
-
B.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
C.
Al Okhdood Club
Al Okhdood Club is a professional football team from Saudi Arabia that competes in the country’s top-tier Saudi Pro League.
-
D.
Al-Ahli
Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
-
E.
Al Khaleej Club
Al Khaleej Club is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
- 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: Ittihad Kalba Triple: [UAE Pro League, includesClub, Ittihad Kalba]
Generated description
Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ittihad Kalba Target entity description: Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
-
A.
Abaji
Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
-
B.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
C.
Al Okhdood Club
Al Okhdood Club is a professional football team from Saudi Arabia that competes in the country’s top-tier Saudi Pro League.
-
D.
Al-Ahli
Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
-
E.
Al Khaleej Club
Al Khaleej Club is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc49dea88190924c8abd29aabdad |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e80cd588190ae012f151ef59c52 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37ef902208190842ddbe6427ca42b |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b382b43b708190be7ae3d44b0a393a |
completed | March 13, 2026, 3:21 a.m. |
Created at: March 8, 2026, 3:19 p.m.