Triple
T21399028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence |
E527861
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Florentia
Florentia is the ancient Latin name for the Italian city now known as Florence, renowned as a major center of art, culture, and the Renaissance.
|
E1482731
|
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: Florentia | Statement: [Florence, relatedName, Florentia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florentia Context triple: [Florence, relatedName, Florentia]
-
A.
Roman Vibo Valentia
Roman Vibo Valentia was an important Roman-era city in southern Italy, known for its strategic coastal location and role as a regional administrative and commercial center.
-
B.
Praeneste
Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
-
C.
Thugga
Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
-
D.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
-
E.
Aurelianum
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
- 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: Florentia Triple: [Florence, relatedName, Florentia]
Generated description
Florentia is the ancient Latin name for the Italian city now known as Florence, renowned as a major center of art, culture, and the Renaissance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florentia Target entity description: Florentia is the ancient Latin name for the Italian city now known as Florence, renowned as a major center of art, culture, and the Renaissance.
-
A.
Roman Vibo Valentia
Roman Vibo Valentia was an important Roman-era city in southern Italy, known for its strategic coastal location and role as a regional administrative and commercial center.
-
B.
Praeneste
Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
-
C.
Thugga
Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
-
D.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
-
E.
Aurelianum
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb4f67ac8190bbb15f29a88b59c5 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea3994481908b7a782fd384603a |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bf9d2d508190a45847afa0d47337 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:14 p.m.