Triple
T19568592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredericia Municipality |
E489650
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Taulov
Taulov is a Danish town in Southern Denmark known as an important transport and logistics hub due to its strategic location near major motorways and rail lines.
|
E1383629
|
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: Taulov | Statement: [Fredericia Municipality, contains, Taulov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taulov Context triple: [Fredericia Municipality, contains, Taulov]
-
A.
Taulliraju
Taulliraju is a striking, steep-sided peak in Peru's Cordillera Blanca, renowned among mountaineers for its technical difficulty and dramatic ice and rock faces.
-
B.
Taugl
Taugl is a small river in the Austrian state of Salzburg, known for its clear waters and scenic gorge landscapes before joining the Salzach.
-
C.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
-
D.
Tadoe
Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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: Taulov Triple: [Fredericia Municipality, contains, Taulov]
Generated description
Taulov is a Danish town in Southern Denmark known as an important transport and logistics hub due to its strategic location near major motorways and rail lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taulov Target entity description: Taulov is a Danish town in Southern Denmark known as an important transport and logistics hub due to its strategic location near major motorways and rail lines.
-
A.
Taulliraju
Taulliraju is a striking, steep-sided peak in Peru's Cordillera Blanca, renowned among mountaineers for its technical difficulty and dramatic ice and rock faces.
-
B.
Taugl
Taugl is a small river in the Austrian state of Salzburg, known for its clear waters and scenic gorge landscapes before joining the Salzach.
-
C.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
-
D.
Tadoe
Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f79adf08190b1c0b008f30b0acd |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757898214819090d82acf3fd830ff |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a075865eaac819085b35d165fda91d4 |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07590b84488190a33889335ba95c95 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:42 p.m.