Triple
T8312859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Pannonia (de facto) |
E194632
|
entity |
| Predicate | encompassed |
P1393
|
FINISHED |
| Object |
Valeria
Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
|
E725478
|
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: Valeria | Statement: [Diocese of Pannonia (de facto), encompassed, Valeria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valeria Context triple: [Diocese of Pannonia (de facto), encompassed, Valeria]
-
A.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
-
B.
Valeria
Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
-
C.
Valeria
Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Lucia
Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
- 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: Valeria Triple: [Diocese of Pannonia (de facto), encompassed, Valeria]
Generated description
Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valeria Target entity description: Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
-
A.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
-
B.
Valeria
Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
-
C.
Valeria
Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Lucia
Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd957ac9788190b4253cca9b4b095d |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdab5d649c819098a7643d5a0b7827 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2c2e2248190bf52466abaebfe29 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:54 p.m.