Triple
T12381580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Zürich |
E295757
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FCZ
FCZ is the commonly used abbreviation for FC Zürich, a professional football club based in Zürich, Switzerland.
|
E977497
|
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: FCZ | Statement: [FC Zürich, shortName, FCZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCZ Context triple: [FC Zürich, shortName, FCZ]
-
A.
CLT FC
CLT FC is the abbreviated name commonly used for Charlotte FC, a professional Major League Soccer club based in Charlotte, North Carolina.
-
B.
FC Gifu
FC Gifu is a Japanese professional football club based in Gifu Prefecture that competes in the country’s league system.
-
C.
Fujitsu Soccer Club
Fujitsu Soccer Club was the company football team of the Fujitsu corporation in Japan that later evolved into the professional J.League club Kawasaki Frontale.
-
D.
Reading F.C.
Reading F.C. is a professional English football club based in Reading, Berkshire, known for competing in the English Football League and for its long-standing presence in the national game.
-
E.
FC Zug
FC Zug is a Swiss football club that has competed in the lower tiers of the national 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: FCZ Triple: [FC Zürich, shortName, FCZ]
Generated description
FCZ is the commonly used abbreviation for FC Zürich, a professional football club based in Zürich, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCZ Target entity description: FCZ is the commonly used abbreviation for FC Zürich, a professional football club based in Zürich, Switzerland.
-
A.
CLT FC
CLT FC is the abbreviated name commonly used for Charlotte FC, a professional Major League Soccer club based in Charlotte, North Carolina.
-
B.
FC Gifu
FC Gifu is a Japanese professional football club based in Gifu Prefecture that competes in the country’s league system.
-
C.
Fujitsu Soccer Club
Fujitsu Soccer Club was the company football team of the Fujitsu corporation in Japan that later evolved into the professional J.League club Kawasaki Frontale.
-
D.
Reading F.C.
Reading F.C. is a professional English football club based in Reading, Berkshire, known for competing in the English Football League and for its long-standing presence in the national game.
-
E.
FC Zug
FC Zug is a Swiss football club that has competed in the lower tiers of the national 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac5b46c81908d419e09f5629c37 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c57a26081908d6903906f6e04f0 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.