Triple
T6382844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Štimac |
E143625
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object |
Al-Shahania SC
Al-Shahania SC is a Qatari professional football club that competes in the country's league system and has featured both domestic and international managers.
|
E592832
|
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-Shahania SC | Statement: [Igor Štimac, managedTeam, Al-Shahania SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Shahania SC Context triple: [Igor Štimac, managedTeam, Al-Shahania SC]
-
A.
Al Shamal SC
Al Shamal SC is a professional football club from Qatar that competes in the country’s top-tier league.
-
B.
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.
-
C.
Al Hazem SC
Al Hazem SC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
D.
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.
-
E.
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.
- 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-Shahania SC Triple: [Igor Štimac, managedTeam, Al-Shahania SC]
Generated description
Al-Shahania SC is a Qatari professional football club that competes in the country's league system and has featured both domestic and international managers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Shahania SC Target entity description: Al-Shahania SC is a Qatari professional football club that competes in the country's league system and has featured both domestic and international managers.
-
A.
Al Shamal SC
Al Shamal SC is a professional football club from Qatar that competes in the country’s top-tier league.
-
B.
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.
-
C.
Al Hazem SC
Al Hazem SC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
D.
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.
-
E.
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.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06854eb608190acb6bb4dc466f0fc |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640b7e89881908e1c39d45e8a8473 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c643eee5fc8190bb874319d84a0d03 |
completed | March 27, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64481fea8819089988f558bf2cb54 |
completed | March 27, 2026, 8:49 a.m. |
Created at: March 22, 2026, 4:34 p.m.