Triple
T3159989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perea |
E66078
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Livias
Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
|
E332121
|
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: Livias | Statement: [Perea, hasMajorTown, Livias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livias Context triple: [Perea, hasMajorTown, Livias]
-
A.
Lucio
Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
-
B.
Lúcio
Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
-
C.
Antonino
Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Lucius
Lucius is a common ancient Roman praenomen (given name) frequently used among Roman men, including emperors such as Commodus.
- 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: Livias Triple: [Perea, hasMajorTown, Livias]
Generated description
Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livias Target entity description: Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
-
A.
Lucio
Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
-
B.
Lúcio
Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
-
C.
Antonino
Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Lucius
Lucius is a common ancient Roman praenomen (given name) frequently used among Roman men, including emperors such as Commodus.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61606bc8190a8ad760d680924eb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250d2b8c81908585d9563f9b4d16 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225df6978819096c275e266263806 |
completed | March 12, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2263e62a88190bf260cfcb00a86ea |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.