Triple
T19615654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoa Metro Line 1 |
E470852
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Principe
Principe is a major underground metro station in Genoa, Italy, serving as an important hub on the city's Line 1 near the main railway terminus.
|
E1386854
|
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: Principe | Statement: [Genoa Metro Line 1, station, Principe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Principe Context triple: [Genoa Metro Line 1, station, Principe]
-
A.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
B.
Prinze
Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
-
C.
Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
-
D.
Príncipe
Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
-
E.
Prence
Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
- 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: Principe Triple: [Genoa Metro Line 1, station, Principe]
Generated description
Principe is a major underground metro station in Genoa, Italy, serving as an important hub on the city's Line 1 near the main railway terminus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Principe Target entity description: Principe is a major underground metro station in Genoa, Italy, serving as an important hub on the city's Line 1 near the main railway terminus.
-
A.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
B.
Prinze
Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
-
C.
Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
-
D.
Príncipe
Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
-
E.
Prence
Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cf418081909d69d5bd9c479fed |
completed | April 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771b607a481908f1ef27fd21ab249 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a0776c2482c8190b00e10c793506bcd |
completed | May 15, 2026, 7:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0777879ed0819096df261fa6178796 |
completed | May 15, 2026, 7:44 p.m. |
Created at: April 10, 2026, 1:43 p.m.