Triple
T3774050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar Stars League |
E83263
|
entity |
| Predicate | hasTeam |
P330
|
FINISHED |
| Object |
Al Sailiya SC
Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
|
E403771
|
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: Al Sailiya SC | Statement: [Qatar Stars League, hasTeam, Al Sailiya SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Sailiya SC Context triple: [Qatar Stars League, hasTeam, Al Sailiya SC]
-
A.
Al Hazem SC
Al Hazem SC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
B.
Al Arabi SC
Al Arabi SC is a prominent Qatari professional football club based in Doha, known for its passionate fan base and historic success in domestic competitions.
-
C.
Al-Faisaly SC
Al-Faisaly SC is one of Jordan’s most successful and popular football clubs, based in Amman and known for its numerous domestic titles and regional achievements.
-
D.
Al Raed FC
Al Raed FC is a professional football club based in Buraidah, Saudi Arabia, competing in the country’s top-tier league system.
-
E.
Al Wahda FC
Al Wahda FC is a professional football club based in Abu Dhabi, United Arab Emirates, known as one of the country's prominent teams.
- 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: Al Sailiya SC Triple: [Qatar Stars League, hasTeam, Al Sailiya SC]
Generated description
Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Sailiya SC Target entity description: Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
-
A.
Al Hazem SC
Al Hazem SC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
B.
Al Arabi SC
Al Arabi SC is a prominent Qatari professional football club based in Doha, known for its passionate fan base and historic success in domestic competitions.
-
C.
Al-Faisaly SC
Al-Faisaly SC is one of Jordan’s most successful and popular football clubs, based in Amman and known for its numerous domestic titles and regional achievements.
-
D.
Al Raed FC
Al Raed FC is a professional football club based in Buraidah, Saudi Arabia, competing in the country’s top-tier league system.
-
E.
Al Wahda FC
Al Wahda FC is a professional football club based in Abu Dhabi, United Arab Emirates, known as one of the country's prominent teams.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fde1998819088a4436f3ec7205a |
completed | March 14, 2026, 11 a.m. |
| NEDg | Description generation | batch_69b540c5ab7881908b7ebb0af2f9da46 |
completed | March 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5415e002881908343ae30b2f8a16c |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 8, 2026, 3:36 p.m.