Triple
T7078612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosk region |
E164886
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Permet
Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
|
E640949
|
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: Permet | Statement: [Tosk region, hasCity, Permet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Permet Context triple: [Tosk region, hasCity, Permet]
-
A.
Perron
Perron is a surname of French origin, often considered a variant of the name Perrin.
-
B.
Perur
Perur is a historic locality near Coimbatore in Tamil Nadu, India, known for its ancient temples and cultural significance.
-
C.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
Perast
Perast is a historic coastal town in Montenegro renowned for its well-preserved Baroque architecture and picturesque setting on the Bay of Kotor.
-
E.
Per Una
Per Una is a womenswear fashion brand known for its stylish and contemporary clothing, sold exclusively through Marks & Spencer.
- 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: Permet Triple: [Tosk region, hasCity, Permet]
Generated description
Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Permet Target entity description: Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
-
A.
Perron
Perron is a surname of French origin, often considered a variant of the name Perrin.
-
B.
Perur
Perur is a historic locality near Coimbatore in Tamil Nadu, India, known for its ancient temples and cultural significance.
-
C.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
Perast
Perast is a historic coastal town in Montenegro renowned for its well-preserved Baroque architecture and picturesque setting on the Bay of Kotor.
-
E.
Per Una
Per Una is a womenswear fashion brand known for its stylish and contemporary clothing, sold exclusively through Marks & Spencer.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7946dbf048190a6307fefeb1dd6a9 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7955aefdc8190ab38d93097502ec1 |
completed | March 28, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795beba2c8190983f871c42f9b72e |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:40 p.m.