Triple
T8032447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castello di Vezio |
E187019
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Vezio
Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
|
E708430
|
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: Vezio | Statement: [Castello di Vezio, locatedIn, Vezio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vezio Context triple: [Castello di Vezio, locatedIn, Vezio]
-
A.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
B.
Velletri
Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
-
C.
Terracina
Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
-
D.
Aurunci
The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
-
E.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
- 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: Vezio Triple: [Castello di Vezio, locatedIn, Vezio]
Generated description
Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vezio Target entity description: Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
-
A.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
B.
Velletri
Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
-
C.
Terracina
Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
-
D.
Aurunci
The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
-
E.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e812dc81908916fc7163ae344a |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58abd96c8190ab9eeaece67d5408 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cc2f71081909cb7c0c245368edb |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:22 p.m.