Triple
T11204763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silistra |
E265131
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Dorostol
Dorostol is the ancient name of the city now known as Silistra, a historically significant settlement on the Danube in northeastern Bulgaria.
|
E916716
|
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: Dorostol | Statement: [Silistra, historicalName, Dorostol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorostol Context triple: [Silistra, historicalName, Dorostol]
-
A.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
B.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
C.
Sarvestan
Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
-
D.
Farashband
Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
-
E.
Larestan
Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
- 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: Dorostol Triple: [Silistra, historicalName, Dorostol]
Generated description
Dorostol is the ancient name of the city now known as Silistra, a historically significant settlement on the Danube in northeastern Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dorostol Target entity description: Dorostol is the ancient name of the city now known as Silistra, a historically significant settlement on the Danube in northeastern Bulgaria.
-
A.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
B.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
C.
Sarvestan
Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
-
D.
Farashband
Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
-
E.
Larestan
Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509dd91288190beefaaa451d692ae |
completed | April 19, 2026, 4:59 p.m. |
| NEDg | Description generation | batch_69e510f7bec08190989118b6e4a7fa49 |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5168c8da0819093bf61d8ea5f9e35 |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:30 p.m.