Triple
T1703038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cicero |
E36808
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Arpinum
Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
|
E194569
|
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: Arpinum | Statement: [Cicero, birthPlace, Arpinum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpinum Context triple: [Cicero, birthPlace, Arpinum]
-
A.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
-
B.
Velletri
Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
-
C.
Carpineto Romano
Carpineto Romano is a historic hill town in the Lazio region of central Italy, best known as the birthplace of Pope Leo XIII.
-
D.
Antium
Antium was an ancient coastal town in Latium, Italy, notable as a resort and birthplace of several Roman emperors, including Caligula and Nero.
-
E.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
- 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: Arpinum Triple: [Cicero, birthPlace, Arpinum]
Generated description
Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arpinum Target entity description: Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
-
A.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
-
B.
Velletri
Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
-
C.
Carpineto Romano
Carpineto Romano is a historic hill town in the Lazio region of central Italy, best known as the birthplace of Pope Leo XIII.
-
D.
Antium
Antium was an ancient coastal town in Latium, Italy, notable as a resort and birthplace of several Roman emperors, including Caligula and Nero.
-
E.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f0eb408190809d1f6496d38e0b |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8acf74848190a18e41988647edcd |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad979b7f2c819094c907bed705db3b |
completed | March 8, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9831a87c819089fc3b590ab7ecb2 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 4, 2026, 7:30 p.m.