Triple
T7412458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodez |
E171042
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Ruthena
Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
|
E662073
|
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: Ruthena | Statement: [Rodez, historicalName, Ruthena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruthena Context triple: [Rodez, historicalName, Ruthena]
-
A.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
-
B.
Mende
Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
-
C.
Mende
The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
-
D.
Mende
Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
-
E.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
- 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: Ruthena Triple: [Rodez, historicalName, Ruthena]
Generated description
Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruthena Target entity description: Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
-
A.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
-
B.
Mende
Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
-
C.
Mende
The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
-
D.
Mende
Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
-
E.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:11 p.m.