Triple
T5221069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo nell’Elba |
E117868
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
Seccheto
Seccheto is a small coastal village on the island of Elba in Tuscany, Italy, known for its beaches and seaside tourism.
|
E504257
|
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: Seccheto | Statement: [Campo nell’Elba, hasFrazione, Seccheto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seccheto Context triple: [Campo nell’Elba, hasFrazione, Seccheto]
-
A.
Cannigione
Cannigione is a coastal village and popular tourist resort in northern Sardinia, Italy, known for its beaches and marina overlooking the Gulf of Arzachena.
-
B.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
C.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
D.
Pescorocchiano
Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
-
E.
Cecina
Cecina is a coastal town in Tuscany, Italy, known for its beaches, tourism, and proximity to the Tyrrhenian Sea.
- 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: Seccheto Triple: [Campo nell’Elba, hasFrazione, Seccheto]
Generated description
Seccheto is a small coastal village on the island of Elba in Tuscany, Italy, known for its beaches and seaside tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seccheto Target entity description: Seccheto is a small coastal village on the island of Elba in Tuscany, Italy, known for its beaches and seaside tourism.
-
A.
Cannigione
Cannigione is a coastal village and popular tourist resort in northern Sardinia, Italy, known for its beaches and marina overlooking the Gulf of Arzachena.
-
B.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
C.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
D.
Pescorocchiano
Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
-
E.
Cecina
Cecina is a coastal town in Tuscany, Italy, known for its beaches, tourism, and proximity to the Tyrrhenian Sea.
- 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_69bd7ab846548190bcd2c5cd238f6cd9 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8059c808190aac709a199541ce7 |
completed | March 21, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69bef86618988190b1c5e53b4a65c8d9 |
completed | March 21, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef8c5eed88190a3fded477e72dc65 |
completed | March 21, 2026, 8 p.m. |
Created at: March 20, 2026, 1:48 p.m.