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.