Triple
T14306641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marbach am Neckar |
E354713
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
|
E1090944
|
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: Botticino | Statement: [Marbach am Neckar, hasTwinTown, Botticino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Botticino Context triple: [Marbach am Neckar, hasTwinTown, Botticino]
-
A.
Teglio Veneto
Teglio Veneto is a small municipality in northeastern Italy known for its rural landscape and traditional Venetian cultural influences.
-
B.
Campagnola
Campagnola is a locality or district that forms part of the municipality of Concesio in northern Italy.
-
C.
Granarolo dell’Emilia
Granarolo dell’Emilia is a municipality in the Emilia-Romagna region of northern Italy, situated just outside the city of Bologna and known for its agricultural and food-industry activities.
-
D.
Facciolella
Facciolella is a genus of deep-sea eels known for their elongated bodies and occurrence in oceanic waters worldwide.
-
E.
Cocconato
Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
- 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: Botticino Triple: [Marbach am Neckar, hasTwinTown, Botticino]
Generated description
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Botticino Target entity description: Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
-
A.
Teglio Veneto
Teglio Veneto is a small municipality in northeastern Italy known for its rural landscape and traditional Venetian cultural influences.
-
B.
Campagnola
Campagnola is a locality or district that forms part of the municipality of Concesio in northern Italy.
-
C.
Granarolo dell’Emilia
Granarolo dell’Emilia is a municipality in the Emilia-Romagna region of northern Italy, situated just outside the city of Bologna and known for its agricultural and food-industry activities.
-
D.
Facciolella
Facciolella is a genus of deep-sea eels known for their elongated bodies and occurrence in oceanic waters worldwide.
-
E.
Cocconato
Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2c32648190bc8bb26d57df57f5 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e3d3e2c81909945253c26e19cee |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ebe4f008190aec72ed7e23c4cd4 |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 10, 2026, 1:12 a.m.