Triple
T23014141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleven Province |
E572984
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Levski
Levski is a small town in northern Bulgaria known as an administrative and transport center within Pleven Province.
|
E1567214
|
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: Levski | Statement: [Pleven Province, hasSettlement, Levski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levski Context triple: [Pleven Province, hasSettlement, Levski]
-
A.
PFC Levski Sofia
PFC Levski Sofia is one of Bulgaria’s most successful and popular professional football clubs, based in the capital city of Sofia.
-
B.
PFC Spartak Pleven
PFC Spartak Pleven is a Bulgarian football club based in the city of Pleven that competes in the national league system.
-
C.
PFC Ludogorets Razgrad
PFC Ludogorets Razgrad is a Bulgarian professional football club known for its domestic dominance and regular participation in European competitions.
-
D.
FC Hebar Pazardzhik
FC Hebar Pazardzhik is a Bulgarian professional football club based in the city of Pazardzhik that competes in the national league system.
-
E.
PFC Cherno More Varna
PFC Cherno More Varna is a Bulgarian professional football club from the city of Varna, known as one of the country’s established top-flight teams.
- 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: Levski Triple: [Pleven Province, hasSettlement, Levski]
Generated description
Levski is a small town in northern Bulgaria known as an administrative and transport center within Pleven Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levski Target entity description: Levski is a small town in northern Bulgaria known as an administrative and transport center within Pleven Province.
-
A.
PFC Levski Sofia
PFC Levski Sofia is one of Bulgaria’s most successful and popular professional football clubs, based in the capital city of Sofia.
-
B.
PFC Spartak Pleven
PFC Spartak Pleven is a Bulgarian football club based in the city of Pleven that competes in the national league system.
-
C.
PFC Ludogorets Razgrad
PFC Ludogorets Razgrad is a Bulgarian professional football club known for its domestic dominance and regular participation in European competitions.
-
D.
FC Hebar Pazardzhik
FC Hebar Pazardzhik is a Bulgarian professional football club based in the city of Pazardzhik that competes in the national league system.
-
E.
PFC Cherno More Varna
PFC Cherno More Varna is a Bulgarian professional football club from the city of Varna, known as one of the country’s established top-flight teams.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e3c0e08190a7ac747b056ec3ca |
completed | April 29, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a81a7881908b46ee8b29640fc4 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfcc5fc7081908787af96b3aa631f |
completed | May 19, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfd5231248190a98dce79d7473902 |
completed | May 19, 2026, 6:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.