Triple
T18246042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzeme |
E436956
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Talsi
Talsi is a picturesque town in western Latvia known for its hilly landscape, lakes, and historic architecture.
|
E1313432
|
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: Talsi | Statement: [Kurzeme, containsCity, Talsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talsi Context triple: [Kurzeme, containsCity, Talsi]
-
A.
Talauma
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
-
B.
Talasnal
Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
-
C.
Talne
Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
-
D.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
E.
Tauranum
Tauranum was an ancient settlement located within the Roman administrative region of Samnium in 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: Talsi Triple: [Kurzeme, containsCity, Talsi]
Generated description
Talsi is a picturesque town in western Latvia known for its hilly landscape, lakes, and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talsi Target entity description: Talsi is a picturesque town in western Latvia known for its hilly landscape, lakes, and historic architecture.
-
A.
Talauma
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
-
B.
Talasnal
Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
-
C.
Talne
Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
-
D.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
E.
Tauranum
Tauranum was an ancient settlement located within the Roman administrative region of Samnium in 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_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.