Triple
T8524708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habsburg hereditary lands |
E201781
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Erblande
Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
|
E739074
|
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: Erblande | Statement: [Habsburg hereditary lands, alsoKnownAs, Erblande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erblande Context triple: [Habsburg hereditary lands, alsoKnownAs, Erblande]
-
A.
Friezland
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
-
B.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
C.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
D.
Svealand
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
-
E.
Rübeland
Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
- 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: Erblande Triple: [Habsburg hereditary lands, alsoKnownAs, Erblande]
Generated description
Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erblande Target entity description: Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
-
A.
Friezland
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
-
B.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
C.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
D.
Svealand
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
-
E.
Rübeland
Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe644c4648190a14dcaeaa90d72c7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e9219108190979430a4308fc4c5 |
completed | April 2, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_69ce5028c38c81908e81390d0be21387 |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce517fea7c819098d0343fd2c4ccdd |
completed | April 2, 2026, 11:22 a.m. |
Created at: March 30, 2026, 6:16 p.m.