Triple
T15345449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Wahda FC |
E366903
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Al Wahda
Al Wahda is a professional football club best known for competing in the top tier of United Arab Emirates football.
|
E1151742
|
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 Wahda | Statement: [Al Wahda FC, shortName, Al Wahda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Wahda Context triple: [Al Wahda FC, shortName, Al Wahda]
-
A.
An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
-
B.
Al Taawoun
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
-
C.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
D.
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.
-
E.
Al Wasl
Al Wasl is a prominent professional football club based in Dubai, United Arab Emirates, known for its passionate fanbase and historic success in domestic 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: Al Wahda Triple: [Al Wahda FC, shortName, Al Wahda]
Generated description
Al Wahda is a professional football club best known for competing in the top tier of United Arab Emirates football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Wahda Target entity description: Al Wahda is a professional football club best known for competing in the top tier of United Arab Emirates football.
-
A.
An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
-
B.
Al Taawoun
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
-
C.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
D.
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.
-
E.
Al Wasl
Al Wasl is a prominent professional football club based in Dubai, United Arab Emirates, known for its passionate fanbase and historic success in domestic 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff034de0508190aea8068e9c3d04d3 |
completed | May 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.