Triple
T8936360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 8 Light Rail Vehicle |
E212786
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Ansaldobreda
Ansaldobreda is an Italian rolling stock manufacturer known for producing trains, trams, and light rail vehicles for transit systems worldwide.
|
E767085
|
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: Ansaldobreda | Statement: [Type 8 Light Rail Vehicle, manufacturer, Ansaldobreda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansaldobreda Context triple: [Type 8 Light Rail Vehicle, manufacturer, Ansaldobreda]
-
A.
Almeida
Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
-
B.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
-
C.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
D.
Amarante
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
-
E.
Belardo
Belardo is the surname of Lenny Belardo, the fictional young pope at the center of Paolo Sorrentino’s television series "The Young Pope."
- 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: Ansaldobreda Triple: [Type 8 Light Rail Vehicle, manufacturer, Ansaldobreda]
Generated description
Ansaldobreda is an Italian rolling stock manufacturer known for producing trains, trams, and light rail vehicles for transit systems worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ansaldobreda Target entity description: Ansaldobreda is an Italian rolling stock manufacturer known for producing trains, trams, and light rail vehicles for transit systems worldwide.
-
A.
Almeida
Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
-
B.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
-
C.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
D.
Amarante
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
-
E.
Belardo
Belardo is the surname of Lenny Belardo, the fictional young pope at the center of Paolo Sorrentino’s television series "The Young Pope."
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66928cec8190915636d663f843af |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1e241a08190bc935c4f0dde9d2f |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc2945a288190b780bae59c737702 |
completed | April 3, 2026, 1:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc3087cac81908e1c178dd4606ade |
completed | April 3, 2026, 1:39 p.m. |
Created at: March 30, 2026, 6:58 p.m.