Triple
T13706839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F91 Dudelange |
E328661
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object |
F91
F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
|
E1055002
|
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: F91 | Statement: [F91 Dudelange, nicknamed, F91]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F91 Context triple: [F91 Dudelange, nicknamed, F91]
-
A.
F95
F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
-
B.
F119
The F119 is a high-performance afterburning turbofan jet engine developed by Pratt & Whitney to power the U.S. Air Force’s F-22 Raptor stealth fighter.
-
C.
F9
F9 is the ninth main installment in the Fast & Furious film franchise, continuing the high-octane action saga of Dominic Toretto and his crew.
-
D.
F9
F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
-
E.
F 21
F 21 is a wing of the Swedish Air Force known for operating fighter aircraft and conducting air defense and training missions in northern Sweden.
- 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: F91 Triple: [F91 Dudelange, nicknamed, F91]
Generated description
F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F91 Target entity description: F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
-
A.
F95
F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
-
B.
F119
The F119 is a high-performance afterburning turbofan jet engine developed by Pratt & Whitney to power the U.S. Air Force’s F-22 Raptor stealth fighter.
-
C.
F9
F9 is the ninth main installment in the Fast & Furious film franchise, continuing the high-octane action saga of Dominic Toretto and his crew.
-
D.
F9
F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
-
E.
F 21
F 21 is a wing of the Swedish Air Force known for operating fighter aircraft and conducting air defense and training missions in northern Sweden.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad18d48c8190a26be865c31975d6 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.