Triple
T7769202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Echter von Mespelbrunn |
E179026
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Spessart
Spessart is a low mountain range and forested region in Germany, known for its dense woodlands and historic association with Franconian territories.
|
E687544
|
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: Spessart | Statement: [Julius Echter von Mespelbrunn, birthPlace, Spessart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spessart Context triple: [Julius Echter von Mespelbrunn, birthPlace, Spessart]
-
A.
Wurmberg
Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
-
B.
Simberi
Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
-
C.
Tennengau
Tennengau is a district in the Austrian state of Salzburg known for its alpine landscapes, historic salt mining heritage, and proximity to the city of Salzburg.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
- 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: Spessart Triple: [Julius Echter von Mespelbrunn, birthPlace, Spessart]
Generated description
Spessart is a low mountain range and forested region in Germany, known for its dense woodlands and historic association with Franconian territories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spessart Target entity description: Spessart is a low mountain range and forested region in Germany, known for its dense woodlands and historic association with Franconian territories.
-
A.
Wurmberg
Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
-
B.
Simberi
Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
-
C.
Tennengau
Tennengau is a district in the Austrian state of Salzburg known for its alpine landscapes, historic salt mining heritage, and proximity to the city of Salzburg.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8698a388190a47d6636fe5d2bb4 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8f3873481908ef6efb2e39272db |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:11 p.m.