Triple
T19561508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovech Province |
E489462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Teteven
Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
|
E1384203
|
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: Teteven | Statement: [Lovech Province, contains, Teteven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teteven Context triple: [Lovech Province, contains, Teteven]
-
A.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
B.
Tyarlevo
Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
-
C.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
D.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
E.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
- 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: Teteven Triple: [Lovech Province, contains, Teteven]
Generated description
Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teteven Target entity description: Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
-
A.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
B.
Tyarlevo
Tyarlevo is a rural locality in Russia that forms part of the Pushkinsky District near Saint Petersburg.
-
C.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
D.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
E.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7442e08190ad030151ec0a97d4 |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075784e53c81908e7121096b4bd76a |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758f52b38819092adc8e564d792b1 |
completed | May 15, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a075962f53881908fbf628ede13cf54 |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:42 p.m.