Triple
T20380188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichelino |
E497802
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Beinasco
Beinasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northern Italy.
|
E1425993
|
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: Beinasco | Statement: [Nichelino, hasNeighbour, Beinasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beinasco Context triple: [Nichelino, hasNeighbour, Beinasco]
-
A.
Balcarce
Balcarce is a city in Buenos Aires Province, Argentina, known for its agricultural economy, motorsport heritage, and as the birthplace of racing legend Juan Manuel Fangio.
-
B.
Berisso
Berisso is an industrial and port city in Buenos Aires Province, Argentina, known for its immigrant heritage and role within the Greater La Plata metropolitan area.
-
C.
Abasto
Abasto is a Buenos Aires neighborhood best known for its historic central market building and strong cultural association with tango and Carlos Gardel.
-
D.
Colomars
Colomars is a small commune in southeastern France situated in the hills northwest of Nice, known for its scenic Mediterranean landscape and proximity to the French Riviera.
-
E.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
- 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: Beinasco Triple: [Nichelino, hasNeighbour, Beinasco]
Generated description
Beinasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beinasco Target entity description: Beinasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northern Italy.
-
A.
Balcarce
Balcarce is a city in Buenos Aires Province, Argentina, known for its agricultural economy, motorsport heritage, and as the birthplace of racing legend Juan Manuel Fangio.
-
B.
Berisso
Berisso is an industrial and port city in Buenos Aires Province, Argentina, known for its immigrant heritage and role within the Greater La Plata metropolitan area.
-
C.
Abasto
Abasto is a Buenos Aires neighborhood best known for its historic central market building and strong cultural association with tango and Carlos Gardel.
-
D.
Colomars
Colomars is a small commune in southeastern France situated in the hills northwest of Nice, known for its scenic Mediterranean landscape and proximity to the French Riviera.
-
E.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b026e081909541e545886c8380 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087095286c8190afdcb855220526fc |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a08712a87c081909c719be069819f03 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08719a13048190b0bb8c8a38bad7a9 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 16, 2026, 11:27 a.m.