Triple
T10155491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duhok |
E232764
|
entity |
| Predicate | hasFootballClub |
P346
|
FINISHED |
| Object |
Duhok SC
Duhok SC is a professional football club based in Duhok, Iraq, that competes in the Iraqi football league system.
|
E843954
|
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: Duhok SC | Statement: [Duhok, hasFootballClub, Duhok SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duhok SC Context triple: [Duhok, hasFootballClub, Duhok SC]
-
A.
Al-Wehdat SC
Al-Wehdat SC is a prominent Jordanian football club based in Amman, known for its large fan base and success in domestic competitions.
-
B.
Syrianska FC
Syrianska FC is a Swedish football club based in Södertälje, traditionally associated with the local Syriac/Assyrian community.
-
C.
Sulaymaniyah SC
Sulaymaniyah SC is a professional football club based in Sulaymaniyah, Iraq, competing in the Iraqi football league system.
-
D.
Al-Ahed FC
Al-Ahed FC is a prominent Lebanese football club best known internationally for winning the AFC Cup, marking one of the country’s biggest achievements in Asian club competition.
-
E.
Al-Tahaddi SC
Al-Tahaddi SC is a Libyan football club best known for competing in the country's top-tier league and contributing to the domestic football scene.
- 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: Duhok SC Triple: [Duhok, hasFootballClub, Duhok SC]
Generated description
Duhok SC is a professional football club based in Duhok, Iraq, that competes in the Iraqi football league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duhok SC Target entity description: Duhok SC is a professional football club based in Duhok, Iraq, that competes in the Iraqi football league system.
-
A.
Al-Wehdat SC
Al-Wehdat SC is a prominent Jordanian football club based in Amman, known for its large fan base and success in domestic competitions.
-
B.
Syrianska FC
Syrianska FC is a Swedish football club based in Södertälje, traditionally associated with the local Syriac/Assyrian community.
-
C.
Sulaymaniyah SC
Sulaymaniyah SC is a professional football club based in Sulaymaniyah, Iraq, competing in the Iraqi football league system.
-
D.
Al-Ahed FC
Al-Ahed FC is a prominent Lebanese football club best known internationally for winning the AFC Cup, marking one of the country’s biggest achievements in Asian club competition.
-
E.
Al-Tahaddi SC
Al-Tahaddi SC is a Libyan football club best known for competing in the country's top-tier league and contributing to the domestic football scene.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e82a49e08190918e85d8b8b2e5c6 |
completed | April 5, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8a37b388190a0d79d61573cf06d |
completed | April 5, 2026, 10:56 p.m. |
Created at: March 30, 2026, 9:09 p.m.