Triple
T8066218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Mittelsachsen |
E188248
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Frauenstein
Frauenstein is a small historic town in the Free State of Saxony in eastern Germany, known for its medieval castle ruins and scenic Ore Mountains surroundings.
|
E709513
|
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: Frauenstein | Statement: [District of Mittelsachsen, contains, Frauenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frauenstein Context triple: [District of Mittelsachsen, contains, Frauenstein]
-
A.
Menzel Horr
Menzel Horr is a town in northeastern Tunisia known for its agricultural surroundings and its location within the coastal Nabeul region.
-
B.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
C.
Rosenhorn
Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
-
D.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
E.
Nadja
Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
- 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: Frauenstein Triple: [District of Mittelsachsen, contains, Frauenstein]
Generated description
Frauenstein is a small historic town in the Free State of Saxony in eastern Germany, known for its medieval castle ruins and scenic Ore Mountains surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frauenstein Target entity description: Frauenstein is a small historic town in the Free State of Saxony in eastern Germany, known for its medieval castle ruins and scenic Ore Mountains surroundings.
-
A.
Menzel Horr
Menzel Horr is a town in northeastern Tunisia known for its agricultural surroundings and its location within the coastal Nabeul region.
-
B.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
C.
Rosenhorn
Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
-
D.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
E.
Nadja
Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
- 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.