Triple
T7943822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy national under-21 football team |
E184450
|
entity |
| Predicate | fifaTrigramme |
P6278
|
FINISHED |
| Object |
ITA
ITA is the FIFA trigramme used to represent Italy in international football competitions.
|
E704462
|
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: ITA | Statement: [Italy national under-21 football team, fifaTrigramme, ITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITA Context triple: [Italy national under-21 football team, fifaTrigramme, ITA]
-
A.
ITA
ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
-
B.
ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
-
C.
Italy
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
D.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
-
E.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
- 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: ITA Triple: [Italy national under-21 football team, fifaTrigramme, ITA]
Generated description
ITA is the FIFA trigramme used to represent Italy in international football competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ITA Target entity description: ITA is the FIFA trigramme used to represent Italy in international football competitions.
-
A.
ITA
ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
-
B.
ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
-
C.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
-
D.
Italy
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
E.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.