Triple
T19524082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daugava River waterfront area |
E488475
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Pārdaugava
Pārdaugava is the part of Riga, Latvia, located on the western bank of the Daugava River, known for its residential districts, historical sites, and green areas.
|
E1380369
|
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: Pārdaugava | Statement: [Daugava River waterfront area, adjacentTo, Pārdaugava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pārdaugava Context triple: [Daugava River waterfront area, adjacentTo, Pārdaugava]
-
A.
Vaiņode
Vaiņode is a small town in western Latvia, situated in the historical region of Kurzeme.
-
B.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
C.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
-
D.
Jekabpils
Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
-
E.
Riudoms
Riudoms is a municipality in the Baix Camp comarca of Catalonia, Spain, known for its agricultural traditions and historic rural character.
- 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: Pārdaugava Triple: [Daugava River waterfront area, adjacentTo, Pārdaugava]
Generated description
Pārdaugava is the part of Riga, Latvia, located on the western bank of the Daugava River, known for its residential districts, historical sites, and green areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pārdaugava Target entity description: Pārdaugava is the part of Riga, Latvia, located on the western bank of the Daugava River, known for its residential districts, historical sites, and green areas.
-
A.
Vaiņode
Vaiņode is a small town in western Latvia, situated in the historical region of Kurzeme.
-
B.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
C.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
-
D.
Jekabpils
Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
-
E.
Riudoms
Riudoms is a municipality in the Baix Camp comarca of Catalonia, Spain, known for its agricultural traditions and historic rural character.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636392444819094f6a2aa1cdf3d42 |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07472cadd88190a7306b8891141157 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07484fcb28819082922c817170d118 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:41 p.m.