Triple
T2734111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orléans |
E60387
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Aurelianum
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
|
E291982
|
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: Aurelianum | Statement: [Orléans, historicalName, Aurelianum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurelianum Context triple: [Orléans, historicalName, Aurelianum]
-
A.
Durostorum
Durostorum was a major Roman military and urban center on the lower Danube, located in the province of Moesia (modern Silistra, Bulgaria).
-
B.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
-
C.
Flavia Neapolis
Flavia Neapolis was a Roman city in Samaria, founded in the 1st century CE near ancient Shechem and known today as Nablus in the West Bank.
-
D.
Marciana
Marciana is a historic hilltop village on the Italian island of Elba, known for its medieval architecture and scenic views over the Tyrrhenian Sea.
-
E.
Carnuntum
Carnuntum was a major Roman military camp and later a significant provincial capital and trading city on the Danube frontier in what is now eastern Austria.
- 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: Aurelianum Triple: [Orléans, historicalName, Aurelianum]
Generated description
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aurelianum Target entity description: Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
-
A.
Durostorum
Durostorum was a major Roman military and urban center on the lower Danube, located in the province of Moesia (modern Silistra, Bulgaria).
-
B.
Aquincum
Aquincum was an important ancient Roman military and civilian settlement located in what is now northern Budapest, Hungary.
-
C.
Flavia Neapolis
Flavia Neapolis was a Roman city in Samaria, founded in the 1st century CE near ancient Shechem and known today as Nablus in the West Bank.
-
D.
Marciana
Marciana is a historic hilltop village on the Italian island of Elba, known for its medieval architecture and scenic views over the Tyrrhenian Sea.
-
E.
Carnuntum
Carnuntum was a major Roman military camp and later a significant provincial capital and trading city on the Danube frontier in what is now eastern Austria.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a15e548190a118880f9904f9cc |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb78d9f0c8190ad276922aa19945d |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7e8a8548190b5b4e7772e0adcf6 |
completed | March 10, 2026, 6:19 a.m. |
Created at: March 6, 2026, 9:56 p.m.