Triple
T6746618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latgale |
E154233
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Sēlija
Sēlija is a historical and cultural region in southeastern Latvia known for its rural landscapes, traditional wooden architecture, and distinct Selonian heritage.
|
E615717
|
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: Sēlija | Statement: [Latgale, borders, Sēlija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sēlija Context triple: [Latgale, borders, Sēlija]
-
A.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
B.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
C.
Sosva
Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
-
D.
Salacia
Salacia is the Roman goddess of the sea, particularly associated with saltwater and often regarded as the consort of Neptune.
-
E.
Sila
Sila is a mountainous plateau in Calabria, southern Italy, known for its dense forests, lakes, and national park.
- 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: Sēlija Triple: [Latgale, borders, Sēlija]
Generated description
Sēlija is a historical and cultural region in southeastern Latvia known for its rural landscapes, traditional wooden architecture, and distinct Selonian heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sēlija Target entity description: Sēlija is a historical and cultural region in southeastern Latvia known for its rural landscapes, traditional wooden architecture, and distinct Selonian heritage.
-
A.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
B.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
C.
Sosva
Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
-
D.
Salacia
Salacia is the Roman goddess of the sea, particularly associated with saltwater and often regarded as the consort of Neptune.
-
E.
Sila
Sila is a mountainous plateau in Calabria, southern Italy, known for its dense forests, lakes, and national park.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b8a0f0819086b802983e8ffcb6 |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b15ded88190a36fb86093ba5a3c |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c334a90819084bb0b25bbc112cc |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d0fcbc08190b3a7d0de3c634a5f |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:10 p.m.