Triple
T8004411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Kansas City |
E186328
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FCKC
FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
|
E704327
|
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: FCKC | Statement: [FC Kansas City, shortName, FCKC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCKC Context triple: [FC Kansas City, shortName, FCKC]
-
A.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
B.
KCKCC
KCKCC is a public community college located in Kansas City, Kansas, offering two-year degree and certificate programs.
-
C.
KCKB
KCKB is the ICAO airport code for North Central West Virginia Airport, a public airport serving the Clarksburg–Bridgeport area in West Virginia, United States.
-
D.
FKK
FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
-
E.
FCU
FCU is the commonly used abbreviation for FC Ulaanbaatar, a professional football club based in Mongolia’s capital city.
- 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: FCKC Triple: [FC Kansas City, shortName, FCKC]
Generated description
FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCKC Target entity description: FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
-
A.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
B.
KCKCC
KCKCC is a public community college located in Kansas City, Kansas, offering two-year degree and certificate programs.
-
C.
KCKB
KCKB is the ICAO airport code for North Central West Virginia Airport, a public airport serving the Clarksburg–Bridgeport area in West Virginia, United States.
-
D.
FKK
FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
-
E.
FCU
FCU is the commonly used abbreviation for FC Ulaanbaatar, a professional football club based in Mongolia’s capital city.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf5fb588190ada4ec7d8087619c |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe127afe0819092d5ad0c430fadc4 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe441b76881909efa791b74316088 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34749ae08190a1d30919a0594bfd |
completed | March 31, 2026, 8:54 p.m. |
Created at: March 30, 2026, 5:18 p.m.