Triple
T3688043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulde |
E78272
|
entity |
| Predicate | hasValleyName |
P650
|
FINISHED |
| Object |
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
|
E379286
|
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: Muldental | Statement: [Mulde, hasValleyName, Muldental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muldental Context triple: [Mulde, hasValleyName, Muldental]
-
A.
Dent
Dent is a surname most prominently associated with Richard Dent, a Hall of Fame former NFL defensive end for the Chicago Bears.
-
B.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
-
C.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
D.
Mouthful of Cavities
"Mouthful of Cavities" is an alternative rock song by Blind Melon, known for its introspective lyrics and melancholic, acoustic-driven sound.
-
E.
Miles&Smiles
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
- 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: Muldental Triple: [Mulde, hasValleyName, Muldental]
Generated description
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muldental Target entity description: Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
-
A.
Dent
Dent is a surname most prominently associated with Richard Dent, a Hall of Fame former NFL defensive end for the Chicago Bears.
-
B.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
-
C.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
D.
Mouthful of Cavities
"Mouthful of Cavities" is an alternative rock song by Blind Melon, known for its introspective lyrics and melancholic, acoustic-driven sound.
-
E.
Miles&Smiles
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c5b6488190afb8cc599d633a96 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c463b53c8190b3333fda95862545 |
completed | March 14, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c4ee4db88190810a1d49d757b2b6 |
completed | March 14, 2026, 2:16 a.m. |
Created at: March 8, 2026, 3:26 p.m.