Triple
T18246059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzeme |
E436956
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Auce
Auce is a small town in western Latvia that serves as a local center within the historical region of Kurzeme.
|
E1313442
|
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: Auce | Statement: [Kurzeme, containsTown, Auce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auce Context triple: [Kurzeme, containsTown, Auce]
-
A.
Anières
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
B.
Aureille
Aureille is a small Provençal village in southern France, known for its traditional rural character and scenic setting within the Alpilles hills.
-
C.
Aabach
Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
-
D.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
E.
Avranchin
Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
- 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: Auce Triple: [Kurzeme, containsTown, Auce]
Generated description
Auce is a small town in western Latvia that serves as a local center within the historical region of Kurzeme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auce Target entity description: Auce is a small town in western Latvia that serves as a local center within the historical region of Kurzeme.
-
A.
Anières
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
B.
Aureille
Aureille is a small Provençal village in southern France, known for its traditional rural character and scenic setting within the Alpilles hills.
-
C.
Aabach
Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
-
D.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
E.
Avranchin
Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac733e708190a7fde1fb61db5d5f |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad2be6e0819081426da968a57db0 |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ad8898748190b57028bb2e2ed207 |
completed | May 12, 2026, 10:45 p.m. |
Created at: April 10, 2026, 10:33 a.m.