Triple
T3248084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vespasia Polla |
E68110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vespasia
Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
|
E342378
|
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: Vespasia | Statement: [Vespasia Polla, familyName, Vespasia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vespasia Context triple: [Vespasia Polla, familyName, Vespasia]
-
A.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
B.
Lavinium
Lavinium was an ancient coastal city of Latium in central Italy, traditionally associated with the legendary landing of Aeneas and the early origins of Roman religious cults.
-
C.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
D.
Marrucini
The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
-
E.
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.
- 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: Vespasia Triple: [Vespasia Polla, familyName, Vespasia]
Generated description
Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vespasia Target entity description: Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
-
A.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
B.
Lavinium
Lavinium was an ancient coastal city of Latium in central Italy, traditionally associated with the legendary landing of Aeneas and the early origins of Roman religious cults.
-
C.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
D.
Marrucini
The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
-
E.
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.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3e9ed0819096ac238098ac403c |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eb55734819093f470caacc3e29c |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:09 p.m.