Triple
T11400211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burg Steckelberg |
E270087
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Schlüchtern
Schlüchtern is a small town in eastern Hesse, Germany, known for its historic architecture and scenic location near the Vogelsberg and Rhön mountain ranges.
|
E923708
|
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: Schlüchtern | Statement: [Burg Steckelberg, locatedNear, Schlüchtern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlüchtern Context triple: [Burg Steckelberg, locatedNear, Schlüchtern]
-
A.
Bad Schussenried
Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
-
B.
Schiltach
Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
E.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
- 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: Schlüchtern Triple: [Burg Steckelberg, locatedNear, Schlüchtern]
Generated description
Schlüchtern is a small town in eastern Hesse, Germany, known for its historic architecture and scenic location near the Vogelsberg and Rhön mountain ranges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schlüchtern Target entity description: Schlüchtern is a small town in eastern Hesse, Germany, known for its historic architecture and scenic location near the Vogelsberg and Rhön mountain ranges.
-
A.
Bad Schussenried
Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
-
B.
Schiltach
Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
E.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cf75ec08190a571e5178bcde274 |
completed | April 20, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69e59777b1208190a33a50da286535ee |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3cf9d388190944340af484b3a54 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.