Triple
T20389261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idar-Oberstein |
E498041
|
entity |
| Predicate | hasSubdivisions |
P747
|
FINISHED |
| Object |
Tiefenstein
Tiefenstein is a district of the German town Idar-Oberstein, known as part of the Hunsrück region in Rhineland-Palatinate.
|
E1430691
|
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: Tiefenstein | Statement: [Idar-Oberstein, hasSubdivisions, Tiefenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiefenstein Context triple: [Idar-Oberstein, hasSubdivisions, Tiefenstein]
-
A.
Taufstein
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
-
B.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
-
C.
Felsenegg
Felsenegg is a popular vantage point and recreational area in the Albis hills near Zurich, Switzerland, known for its panoramic views over Lake Zurich and the surrounding region.
-
D.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
E.
Radenthein
Radenthein is a small town in the Austrian state of Carinthia, known for its alpine setting and history of magnesite mining.
- 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: Tiefenstein Triple: [Idar-Oberstein, hasSubdivisions, Tiefenstein]
Generated description
Tiefenstein is a district of the German town Idar-Oberstein, known as part of the Hunsrück region in Rhineland-Palatinate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiefenstein Target entity description: Tiefenstein is a district of the German town Idar-Oberstein, known as part of the Hunsrück region in Rhineland-Palatinate.
-
A.
Taufstein
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
-
B.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
-
C.
Felsenegg
Felsenegg is a popular vantage point and recreational area in the Albis hills near Zurich, Switzerland, known for its panoramic views over Lake Zurich and the surrounding region.
-
D.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
E.
Radenthein
Radenthein is a small town in the Austrian state of Carinthia, known for its alpine setting and history of magnesite mining.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ea99fc8190a554e095d2c3422f |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884c182548190bdb6f43f99d2a005 |
completed | May 16, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088565cbcc81909b4bbc286d272ef6 |
completed | May 16, 2026, 2:55 p.m. |
Created at: April 16, 2026, 11:28 a.m.