Triple
T21844518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shumen Province |
E539340
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Smyadovo
Smyadovo is a small town in northeastern Bulgaria known for its agricultural surroundings and location within Shumen Province.
|
E1522488
|
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: Smyadovo | Statement: [Shumen Province, hasTown, Smyadovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smyadovo Context triple: [Shumen Province, hasTown, Smyadovo]
-
A.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
B.
Klyavlino
Klyavlino is a rural locality in Russia situated along the Sok River, known primarily as an agricultural settlement.
-
C.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
-
D.
Rumyantsevo
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
-
E.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
- 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: Smyadovo Triple: [Shumen Province, hasTown, Smyadovo]
Generated description
Smyadovo is a small town in northeastern Bulgaria known for its agricultural surroundings and location within Shumen Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smyadovo Target entity description: Smyadovo is a small town in northeastern Bulgaria known for its agricultural surroundings and location within Shumen Province.
-
A.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
B.
Klyavlino
Klyavlino is a rural locality in Russia situated along the Sok River, known primarily as an agricultural settlement.
-
C.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
-
D.
Rumyantsevo
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
-
E.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5248f08190ba208512eafbe7ad |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ea7fa78819086767bdd9bff499b |
completed | May 18, 2026, 5:07 a.m. |
| NEDg | Description generation | batch_6a0aa014aa908190ad7a9c9d76a6ab4e |
completed | May 18, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa04788488190875bea3775c58e2d |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 6:55 p.m.