Triple
T6073433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sursilvan |
E135340
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object |
Lumnezia
Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
|
E566527
|
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: Lumnezia | Statement: [Sursilvan, spokenIn, Lumnezia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumnezia Context triple: [Sursilvan, spokenIn, Lumnezia]
-
A.
Burzenland
Burzenland is a historic region in southeastern Transylvania, Romania, known for its medieval Saxon settlements, fortified churches, and strategic location in the Carpathian foothills.
-
B.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
C.
Ladania
Ladania is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
E.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
- 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: Lumnezia Triple: [Sursilvan, spokenIn, Lumnezia]
Generated description
Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lumnezia Target entity description: Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
-
A.
Burzenland
Burzenland is a historic region in southeastern Transylvania, Romania, known for its medieval Saxon settlements, fortified churches, and strategic location in the Carpathian foothills.
-
B.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
C.
Ladania
Ladania is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
E.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575b9bc08190a78b3082b9ccf00c |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3fb99481909cc31c179eb4e8c9 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e89c75481908381df126a7b1661 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ef6971c8190b8dde5568b330b41 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.