Triple
T12682365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ins |
E302977
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Tschugg
Tschugg is a small municipality in the canton of Bern, Switzerland, known for its rural setting near Lake Biel and its historic manor house that now serves as a neurological clinic.
|
E997754
|
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: Tschugg | Statement: [Ins, hasNeighboringMunicipality, Tschugg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tschugg Context triple: [Ins, hasNeighboringMunicipality, Tschugg]
-
A.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
B.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
-
C.
Chivv
Chivv is a Dutch rapper and singer known for his work in the hip-hop and Afrobeat scenes, including collaborations with international artists.
-
D.
Cheget
Cheget is a small mountain village and ski resort in Russia’s Caucasus region, serving as a popular base for visitors to Mount Elbrus.
-
E.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
- 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: Tschugg Triple: [Ins, hasNeighboringMunicipality, Tschugg]
Generated description
Tschugg is a small municipality in the canton of Bern, Switzerland, known for its rural setting near Lake Biel and its historic manor house that now serves as a neurological clinic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tschugg Target entity description: Tschugg is a small municipality in the canton of Bern, Switzerland, known for its rural setting near Lake Biel and its historic manor house that now serves as a neurological clinic.
-
A.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
B.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
-
C.
Chivv
Chivv is a Dutch rapper and singer known for his work in the hip-hop and Afrobeat scenes, including collaborations with international artists.
-
D.
Cheget
Cheget is a small mountain village and ski resort in Russia’s Caucasus region, serving as a popular base for visitors to Mount Elbrus.
-
E.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:21 p.m.