Triple
T12938975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SH8 |
E309588
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Borsh
Borsh is a village in southern Albania known for its long Ionian Sea beach, olive groves, and historic castle ruins.
|
E1011825
|
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: Borsh | Statement: [SH8, passesThrough, Borsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borsh Context triple: [SH8, passesThrough, Borsh]
-
A.
Sarma
Sarma is a traditional dish of vine or cabbage leaves wrapped around a savory filling, commonly enjoyed throughout Turkish and other Balkan and Middle Eastern cuisines.
-
B.
Khinkali
Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
-
C.
Khachapuri
Khachapuri is a classic Georgian cheese-filled bread, often boat-shaped and topped with egg and butter, considered one of the country’s most iconic national dishes.
-
D.
Karelian stew
Karelian stew is a traditional Finnish meat dish from the Karelia region, typically made by slowly braising mixed meats with root vegetables in a rich, hearty broth.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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: Borsh Triple: [SH8, passesThrough, Borsh]
Generated description
Borsh is a village in southern Albania known for its long Ionian Sea beach, olive groves, and historic castle ruins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borsh Target entity description: Borsh is a village in southern Albania known for its long Ionian Sea beach, olive groves, and historic castle ruins.
-
A.
Sarma
Sarma is a traditional dish of vine or cabbage leaves wrapped around a savory filling, commonly enjoyed throughout Turkish and other Balkan and Middle Eastern cuisines.
-
B.
Khinkali
Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
-
C.
Khachapuri
Khachapuri is a classic Georgian cheese-filled bread, often boat-shaped and topped with egg and butter, considered one of the country’s most iconic national dishes.
-
D.
Karelian stew
Karelian stew is a traditional Finnish meat dish from the Karelia region, typically made by slowly braising mixed meats with root vegetables in a rich, hearty broth.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.