Triple
T2463037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highlanders F.C. |
E54577
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
Caps United F.C.
Caps United F.C. is one of Zimbabwe’s most prominent football clubs, known for its passionate fan base and intense domestic rivalries.
|
E268370
|
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: Caps United F.C. | Statement: [Highlanders F.C., rival, Caps United F.C.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caps United F.C. Context triple: [Highlanders F.C., rival, Caps United F.C.]
-
A.
Incheon United FC
Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
-
B.
Daejeon Hana Citizen FC
Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
-
C.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
D.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
E.
Vissel Kobe
Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 League.
- 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: Caps United F.C. Triple: [Highlanders F.C., rival, Caps United F.C.]
Generated description
Caps United F.C. is one of Zimbabwe’s most prominent football clubs, known for its passionate fan base and intense domestic rivalries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caps United F.C. Target entity description: Caps United F.C. is one of Zimbabwe’s most prominent football clubs, known for its passionate fan base and intense domestic rivalries.
-
A.
Incheon United FC
Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
-
B.
Daejeon Hana Citizen FC
Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
-
C.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
D.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
E.
Vissel Kobe
Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 League.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11f093c8190877db3026d430bd5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d561a081909310113658b98f12 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef8380d24819092b6502117a8ed42 |
completed | March 9, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef936b86c81908573ea73314fe6a9 |
completed | March 9, 2026, 4:45 p.m. |
Created at: March 6, 2026, 9:44 p.m.