Triple
T5119147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podolsk |
E115415
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Dubrovitsy
Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
|
E520246
|
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: Dubrovitsy | Statement: [Podolsk, nearSettlement, Dubrovitsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubrovitsy Context triple: [Podolsk, nearSettlement, Dubrovitsy]
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Borovsk
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
-
C.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
D.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
-
E.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
- 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: Dubrovitsy Triple: [Podolsk, nearSettlement, Dubrovitsy]
Generated description
Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dubrovitsy Target entity description: Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Borovsk
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
-
C.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
D.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
-
E.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cf6590819081488b739efae32c |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf410eb03c81909aca9aca27cc82c1 |
completed | March 22, 2026, 1:08 a.m. |
| NEDg | Description generation | batch_69bf4207393c819089b4fc6691a2d076 |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf427e2bd08190b7664922d26e16d2 |
completed | March 22, 2026, 1:14 a.m. |
Created at: March 20, 2026, 1:42 p.m.