Triple
T4417958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drama (regional unit) |
E95022
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
|
E437045
|
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: Kato Nevrokopi | Statement: [Drama (regional unit), contains, Kato Nevrokopi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kato Nevrokopi Context triple: [Drama (regional unit), contains, Kato Nevrokopi]
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
C.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
D.
Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
-
E.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
- 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: Kato Nevrokopi Triple: [Drama (regional unit), contains, Kato Nevrokopi]
Generated description
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kato Nevrokopi Target entity description: Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
C.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
D.
Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
-
E.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551d5d7481908528c2de0a6fda06 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f61fa6d88190b98810b542835817 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f68a994c8190a5b524a4db16b097 |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f6ece3b08190b880743e9fe4dbad |
completed | March 15, 2026, 12:01 a.m. |
Created at: March 12, 2026, 11:29 p.m.