Triple
T3586130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autostrada A5 |
E75912
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Ivrea
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
|
E375135
|
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: Ivrea | Statement: [Autostrada A5, passesNear, Ivrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivrea Context triple: [Autostrada A5, passesNear, Ivrea]
-
A.
Biella
Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
-
B.
Pinerolo
Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
-
C.
Fossano
Fossano is a historic town in the Piedmont region of northwestern Italy, known for its medieval architecture and strategic location between Cuneo and Turin.
-
D.
Cuneo
Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
-
E.
Moncalieri
Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
- 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: Ivrea Triple: [Autostrada A5, passesNear, Ivrea]
Generated description
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ivrea Target entity description: Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
-
A.
Biella
Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
-
B.
Pinerolo
Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
-
C.
Fossano
Fossano is a historic town in the Piedmont region of northwestern Italy, known for its medieval architecture and strategic location between Cuneo and Turin.
-
D.
Cuneo
Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
-
E.
Moncalieri
Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44efa419481908f07a9367adc4e42 |
completed | March 13, 2026, 5:52 p.m. |
| NEDg | Description generation | batch_69b4505350e4819085ef8cca532d9eda |
completed | March 13, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b450a915b081908889b4c5ea2d3024 |
completed | March 13, 2026, 6 p.m. |
Created at: March 8, 2026, 3:22 p.m.