Triple
T17113090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priverno railway station |
E415272
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Priverno-Fossanova
Priverno-Fossanova is an Italian railway station serving the town of Priverno and the nearby Fossanova Abbey area in the Lazio region.
|
E1251173
|
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: Priverno-Fossanova | Statement: [Priverno railway station, hasStationCode, Priverno-Fossanova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priverno-Fossanova Context triple: [Priverno railway station, hasStationCode, Priverno-Fossanova]
-
A.
Bucchianico
Bucchianico is a small Italian town in the Abruzzo region, known for its historic hilltop setting and traditional festivals.
-
B.
Ostiano
Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
-
C.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
D.
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
-
E.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
- 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: Priverno-Fossanova Triple: [Priverno railway station, hasStationCode, Priverno-Fossanova]
Generated description
Priverno-Fossanova is an Italian railway station serving the town of Priverno and the nearby Fossanova Abbey area in the Lazio region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Priverno-Fossanova Target entity description: Priverno-Fossanova is an Italian railway station serving the town of Priverno and the nearby Fossanova Abbey area in the Lazio region.
-
A.
Bucchianico
Bucchianico is a small Italian town in the Abruzzo region, known for its historic hilltop setting and traditional festivals.
-
B.
Ostiano
Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
-
C.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
D.
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
-
E.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8033840819083e9a506e48c31b4 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a062d7c81908fe8cdc9e4637168 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013a8e69388190b8d48d70a28e99bd |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:35 a.m.