Triple
T6353632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Karlino
Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
|
E586143
|
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: Karlino | Statement: [West Pomeranian Voivodeship, containsCity, Karlino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlino Context triple: [West Pomeranian Voivodeship, containsCity, Karlino]
-
A.
Kalinin
Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
-
B.
Kirovo
Kirovo was the Soviet-era name for the Ukrainian city now known as Kropyvnytskyi, reflecting its renaming in honor of Bolshevik leader Sergei Kirov.
-
C.
Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
-
D.
Kolpino
Kolpino is a town in the Kolpinsky District of Saint Petersburg, Russia, known as an industrial suburb with significant metallurgical and manufacturing enterprises.
-
E.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
- 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: Karlino Triple: [West Pomeranian Voivodeship, containsCity, Karlino]
Generated description
Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karlino Target entity description: Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
-
A.
Kalinin
Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
-
B.
Kirovo
Kirovo was the Soviet-era name for the Ukrainian city now known as Kropyvnytskyi, reflecting its renaming in honor of Bolshevik leader Sergei Kirov.
-
C.
Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
-
D.
Kolpino
Kolpino is a town in the Kolpinsky District of Saint Petersburg, Russia, known as an industrial suburb with significant metallurgical and manufacturing enterprises.
-
E.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60459a7c081909b551dcf1735bf75 |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c605212688819081fc8f9c1500ff50 |
completed | March 27, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605c0db308190960370a81ff8123b |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:31 p.m.