Triple
T4957613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Saxony |
E111323
|
entity |
| Predicate | hasTerritory |
P285
|
FINISHED |
| Object |
Angria
Angria was a historical region that formed one of the main parts of the medieval Duchy of Saxony in what is now northern Germany.
|
E483042
|
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: Angria | Statement: [Duchy of Saxony, hasTerritory, Angria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angria Context triple: [Duchy of Saxony, hasTerritory, Angria]
-
A.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
B.
Erathem
An erathem is a formal chronostratigraphic unit representing the rock layers deposited during a corresponding geologic era in Earth’s history.
-
C.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
D.
Kamiros
Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
-
E.
Guerrara
Guerrara is a town in Algeria’s M’zab region, known for its traditional Mozabite architecture and oasis-based desert lifestyle.
- 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: Angria Triple: [Duchy of Saxony, hasTerritory, Angria]
Generated description
Angria was a historical region that formed one of the main parts of the medieval Duchy of Saxony in what is now northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angria Target entity description: Angria was a historical region that formed one of the main parts of the medieval Duchy of Saxony in what is now northern Germany.
-
A.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
B.
Erathem
An erathem is a formal chronostratigraphic unit representing the rock layers deposited during a corresponding geologic era in Earth’s history.
-
C.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
D.
Kamiros
Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
-
E.
Guerrara
Guerrara is a town in Algeria’s M’zab region, known for its traditional Mozabite architecture and oasis-based desert lifestyle.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e144a08190b66bf07e09b6ff55 |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83b10e048190889289ac2ca9f07f |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be843e2e50819099b2b73498c7c16e |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:32 p.m.