Triple
T2146276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raetia |
E47072
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Raeti
The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
|
E240344
|
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: Raeti | Statement: [Raetia, namedAfter, Raeti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raeti Context triple: [Raetia, namedAfter, Raeti]
-
A.
Nursia
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
-
B.
Lepontii
The Lepontii were an ancient Celtic people who inhabited the Alpine region of what is now southern Switzerland and northern Italy.
-
C.
Picenum
Picenum was an ancient region on the Adriatic coast of central Italy, inhabited by the Picentes people and later incorporated into the Roman Republic.
-
D.
Lauriacum
Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
-
E.
Selasca
Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
- 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: Raeti Triple: [Raetia, namedAfter, Raeti]
Generated description
The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raeti Target entity description: The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
-
A.
Nursia
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
-
B.
Lepontii
The Lepontii were an ancient Celtic people who inhabited the Alpine region of what is now southern Switzerland and northern Italy.
-
C.
Picenum
Picenum was an ancient region on the Adriatic coast of central Italy, inhabited by the Picentes people and later incorporated into the Roman Republic.
-
D.
Lauriacum
Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
-
E.
Selasca
Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe25d8848190a3ba691668a68e37 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d75a5c8190b364a4ab5370558a |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae595a222881908d86ba8690c4fc65 |
completed | March 9, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae59efdf4c8190aaa1d63ce6e98696 |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:44 p.m.