Triple
T8066207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Mittelsachsen |
E188248
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oederan
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
|
E709506
|
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: Oederan | Statement: [District of Mittelsachsen, contains, Oederan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oederan Context triple: [District of Mittelsachsen, contains, Oederan]
-
A.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
B.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
C.
Odda
Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
-
D.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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: Oederan Triple: [District of Mittelsachsen, contains, Oederan]
Generated description
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oederan Target entity description: Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
-
A.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
B.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
C.
Odda
Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
-
D.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651c5f788190908c6d84c58cba0f |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6649d2348190996802140b455348 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:26 p.m.