Triple
T10002748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriele Rossetti |
E197366
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Vasto
Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
|
E836463
|
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: Vasto | Statement: [Gabriele Rossetti, birthPlace, Vasto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasto Context triple: [Gabriele Rossetti, birthPlace, Vasto]
-
A.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
B.
Forssa
Forssa is a small industrial town in southern Finland known for its textile heritage and location in the Tavastia Proper region.
-
C.
Töölö
Töölö is a central district of Helsinki, Finland, known for its early 20th-century architecture, cultural institutions, and proximity to the city’s major parks and waterfront.
-
D.
Vasastan
Vasastan is a central district in Stockholm, Sweden, known for its early 20th-century architecture, lively cafés, and residential character.
-
E.
Vantaa, Finland
Vantaa, Finland is a major city in the Helsinki metropolitan area best known for hosting Helsinki Airport and serving as an important transportation and commercial hub.
- 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: Vasto Triple: [Gabriele Rossetti, birthPlace, Vasto]
Generated description
Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vasto Target entity description: Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
-
A.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
B.
Forssa
Forssa is a small industrial town in southern Finland known for its textile heritage and location in the Tavastia Proper region.
-
C.
Töölö
Töölö is a central district of Helsinki, Finland, known for its early 20th-century architecture, cultural institutions, and proximity to the city’s major parks and waterfront.
-
D.
Vasastan
Vasastan is a central district in Stockholm, Sweden, known for its early 20th-century architecture, lively cafés, and residential character.
-
E.
Vantaa, Finland
Vantaa, Finland is a major city in the Helsinki metropolitan area best known for hosting Helsinki Airport and serving as an important transportation and commercial hub.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcd12f6488190bd5257b5f65437cc |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2820063f48190886619fe26b0cc94 |
completed | April 5, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_69d282fd10248190a1a0b4573b2065ae |
completed | April 5, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d283d0e1748190a0c65bbaa8e8348e |
completed | April 5, 2026, 3:46 p.m. |
Created at: March 30, 2026, 8:51 p.m.