Triple
T2689855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestorius |
E57573
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Germanicia
Germanicia was an ancient city in Roman Syria, notable as the birthplace of the 5th-century Christian theologian Nestorius.
|
E291206
|
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: Germanicia | Statement: [Nestorius, birthPlace, Germanicia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germanicia Context triple: [Nestorius, birthPlace, Germanicia]
-
A.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Germania Superior
Germania Superior was a Roman imperial province along the upper Rhine frontier, encompassing parts of what are now southwestern Germany, eastern France, and northern Switzerland.
-
C.
Germania
Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
-
D.
Armorica
Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
-
E.
Bernicia
Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
- 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: Germanicia Triple: [Nestorius, birthPlace, Germanicia]
Generated description
Germanicia was an ancient city in Roman Syria, notable as the birthplace of the 5th-century Christian theologian Nestorius.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Germanicia Target entity description: Germanicia was an ancient city in Roman Syria, notable as the birthplace of the 5th-century Christian theologian Nestorius.
-
A.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Germania Superior
Germania Superior was a Roman imperial province along the upper Rhine frontier, encompassing parts of what are now southwestern Germany, eastern France, and northern Switzerland.
-
C.
Germania
Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
-
D.
Armorica
Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
-
E.
Bernicia
Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf5e85bc81908ba1b1968cfa440a |
completed | March 10, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69afafddb2a081909b891eed7ba5411d |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb10304488190a1129efae36b3c4e |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.