Triple
T14618678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veliko Tarnovo Province |
E343155
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Lyaskovets
Lyaskovets is a small town in north-central Bulgaria known for its historical monasteries and traditional Bulgarian architecture.
|
E1114440
|
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: Lyaskovets | Statement: [Veliko Tarnovo Province, containsCity, Lyaskovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyaskovets Context triple: [Veliko Tarnovo Province, containsCity, Lyaskovets]
-
A.
Berestovitsa
Berestovitsa is a Belarusian town known for its strategic location near the border with Poland, serving as an important regional transport and customs point.
-
B.
Krolevets
Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
-
C.
Balabanovo
Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local 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: Lyaskovets Triple: [Veliko Tarnovo Province, containsCity, Lyaskovets]
Generated description
Lyaskovets is a small town in north-central Bulgaria known for its historical monasteries and traditional Bulgarian architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyaskovets Target entity description: Lyaskovets is a small town in north-central Bulgaria known for its historical monasteries and traditional Bulgarian architecture.
-
A.
Berestovitsa
Berestovitsa is a Belarusian town known for its strategic location near the border with Poland, serving as an important regional transport and customs point.
-
B.
Krolevets
Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
-
C.
Balabanovo
Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16c005c81908b54fcfd4243d820 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5b89b388190ad466e70c311964a |
completed | May 8, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde67aedbc8190a697783bf40ecf7d |
completed | May 8, 2026, 1:34 p.m. |
Created at: April 10, 2026, 1:25 a.m.