Triple
T18392852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Свирь |
E449779
|
entity |
| Predicate | hasTownOnBank |
P847
|
FINISHED |
| Object |
Подпорожье
Подпорожье — небольшой российский город в Ленинградской области, расположенный в северной части региона и известный как центр одноимённого района.
|
E1322571
|
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: Подпорожье | Statement: [Свирь, hasTownOnBank, Подпорожье]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Подпорожье Context triple: [Свирь, hasTownOnBank, Подпорожье]
-
A.
Pomorie
Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
-
B.
На дне
«На дне» — социально-психологическая драма Максима Горького о жизни обитателей ночлежки, ставшая классикой русской литературы и театра.
-
C.
Gate of the Sea
Gate of the Sea is a historic city gate in Tunis, Tunisia, that once marked the boundary between the old medina and the modern European-style city.
-
D.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
E.
Am Meer
"Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
- 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: Подпорожье Triple: [Свирь, hasTownOnBank, Подпорожье]
Generated description
Подпорожье — небольшой российский город в Ленинградской области, расположенный в северной части региона и известный как центр одноимённого района.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Подпорожье Target entity description: Подпорожье — небольшой российский город в Ленинградской области, расположенный в северной части региона и известный как центр одноимённого района.
-
A.
Pomorie
Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
-
B.
На дне
«На дне» — социально-психологическая драма Максима Горького о жизни обитателей ночлежки, ставшая классикой русской литературы и театра.
-
C.
Gate of the Sea
Gate of the Sea is a historic city gate in Tunis, Tunisia, that once marked the boundary between the old medina and the modern European-style city.
-
D.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
E.
Am Meer
"Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51844c1ec81909ec215db9b29612d |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e23eac3081909deb4a491da08bac |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e46859d481909c2738b6f47ea7b3 |
completed | May 13, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e4b743688190a582fef43f7b1956 |
completed | May 13, 2026, 2:40 a.m. |
Created at: April 10, 2026, 10:46 a.m.