Triple
T6192572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national road DK7 (Zakopianka corridor) |
E138429
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
|
E575213
|
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: Zakopianka | Statement: [national road DK7 (Zakopianka corridor), alsoKnownAs, Zakopianka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakopianka Context triple: [national road DK7 (Zakopianka corridor), alsoKnownAs, Zakopianka]
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
C.
Chardzhev
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
-
D.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
E.
Koropi
Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
- 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: Zakopianka Triple: [national road DK7 (Zakopianka corridor), alsoKnownAs, Zakopianka]
Generated description
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zakopianka Target entity description: Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
C.
Chardzhev
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
-
D.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
E.
Koropi
Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06241977c81909ab8486f5aa30be0 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1403888190b558a43998fa5d05 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e2a4ec088190bf7a7359a9f86645 |
completed | March 24, 2026, 1:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e3323f788190a8cc4c870fef1d2b |
completed | March 24, 2026, 1:04 a.m. |
Created at: March 22, 2026, 4:19 p.m.