Triple
T18500921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmental |
E452062
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Signau
Signau is a municipality and village in the Emmental region of the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
|
E1327583
|
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: Signau | Statement: [Emmental, containsSettlement, Signau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signau Context triple: [Emmental, containsSettlement, Signau]
-
A.
Sinjal
Sinjal is the highest mountain peak of the Dinara range, located on the border between Croatia and Bosnia and Herzegovina.
-
B.
Audinghen
Audinghen is a small coastal commune in northern France known for its proximity to the scenic Cap Gris-Nez headland on the English Channel.
-
C.
Sigdal
Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
-
D.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
E.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
- 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: Signau Triple: [Emmental, containsSettlement, Signau]
Generated description
Signau is a municipality and village in the Emmental region of the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Signau Target entity description: Signau is a municipality and village in the Emmental region of the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
-
A.
Sinjal
Sinjal is the highest mountain peak of the Dinara range, located on the border between Croatia and Bosnia and Herzegovina.
-
B.
Audinghen
Audinghen is a small coastal commune in northern France known for its proximity to the scenic Cap Gris-Nez headland on the English Channel.
-
C.
Sigdal
Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
-
D.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
E.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047141e8208190b240a11ae3b02ec0 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04738415508190945eec50944d96e9 |
completed | May 13, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04746a380c819097df59bdbce0f6f6 |
completed | May 13, 2026, 12:54 p.m. |
Created at: April 10, 2026, 11:36 a.m.