Triple
T1871456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Nasr SC (Benghazi) |
E39043
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
|
E221079
|
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-Nasr | Statement: [Al-Nasr SC (Benghazi), shortName, Al-Nasr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Nasr Context triple: [Al-Nasr SC (Benghazi), shortName, Al-Nasr]
-
A.
Al Nasr SC
Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
-
B.
Al-Ahli
Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
-
C.
Al Hilal SFC
Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
-
D.
Al Nassr FC
Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
-
E.
Al Ittihad Club
Al Ittihad Club is one of Saudi Arabia’s most successful and historic football clubs, based in Jeddah and known for its large fanbase and multiple domestic and continental titles.
- 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-Nasr Triple: [Al-Nasr SC (Benghazi), shortName, Al-Nasr]
Generated description
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Nasr Target entity description: Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
A.
Al Nasr SC
Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
-
B.
Al-Ahli
Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
-
C.
Al Hilal SFC
Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
-
D.
Al Nassr FC
Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
-
E.
Al Ittihad Club
Al Ittihad Club is one of Saudi Arabia’s most successful and historic football clubs, based in Jeddah and known for its large fanbase and multiple domestic and continental titles.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0ba90e08190b990875d6e8e7e4a |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030a0d3081908641c4a40e5b7700 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae037591a881908b353e0e8a8cc7ce |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae03d69c808190810ca1de51552e8c |
completed | March 8, 2026, 11:18 p.m. |
Created at: March 4, 2026, 7:34 p.m.