Triple
T12603810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger of Lauria |
E300922
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Lauria
Lauria is a town in the Basilicata region of southern Italy, historically notable as the birthplace of the medieval admiral Roger of Lauria.
|
E993951
|
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: Lauria | Statement: [Roger of Lauria, birthPlace, Lauria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauria Context triple: [Roger of Lauria, birthPlace, Lauria]
-
A.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
B.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
C.
Lanuvium
Lanuvium was an ancient Latin city in central Italy, noted for its important sanctuary of Juno Sospita and its later incorporation into the Roman state.
-
D.
Agira
Agira is a historic hill town in central Sicily, Italy, known for its ancient origins, medieval architecture, and panoramic views over the surrounding countryside.
-
E.
Cinisi
Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
- 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: Lauria Triple: [Roger of Lauria, birthPlace, Lauria]
Generated description
Lauria is a town in the Basilicata region of southern Italy, historically notable as the birthplace of the medieval admiral Roger of Lauria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauria Target entity description: Lauria is a town in the Basilicata region of southern Italy, historically notable as the birthplace of the medieval admiral Roger of Lauria.
-
A.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
B.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
C.
Lanuvium
Lanuvium was an ancient Latin city in central Italy, noted for its important sanctuary of Juno Sospita and its later incorporation into the Roman state.
-
D.
Agira
Agira is a historic hill town in central Sicily, Italy, known for its ancient origins, medieval architecture, and panoramic views over the surrounding countryside.
-
E.
Cinisi
Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecb09e481909d688f174372dde7 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:10 p.m.