Triple
T5221771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Giovinco |
E117885
|
entity |
| Predicate | seniorClub |
P28388
|
FINISHED |
| Object |
Empoli
Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
|
E504157
|
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: Empoli | Statement: [Sebastian Giovinco, seniorClub, Empoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empoli Context triple: [Sebastian Giovinco, seniorClub, Empoli]
-
A.
Reggiana
Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
-
B.
Carpi
Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
-
C.
Sassuolo
Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
-
D.
Cesena
Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
-
E.
Osimo
Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
- 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: Empoli Triple: [Sebastian Giovinco, seniorClub, Empoli]
Generated description
Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Empoli Target entity description: Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
-
A.
Reggiana
Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
-
B.
Carpi
Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
-
C.
Sassuolo
Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
-
D.
Cesena
Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
-
E.
Osimo
Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7aba05b48190b6a7fc52ab3532f0 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeff49d708190a042dfab473a9646 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef309c230819094ed6ae3fefe6e5b |
completed | March 21, 2026, 7:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef36c88f4819082931dbe1bb13f89 |
completed | March 21, 2026, 7:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.