Triple
T4873845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muszyna |
E109150
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Lipany
Lipany is a small town in northeastern Slovakia known for its historical churches and traditional Slovak culture.
|
E476746
|
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: Lipany | Statement: [Muszyna, twinnedWith, Lipany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipany Context triple: [Muszyna, twinnedWith, Lipany]
-
A.
Lypky
Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
-
B.
Polyanka
Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
-
C.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
D.
Wilkasy
Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
-
E.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
- 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: Lipany Triple: [Muszyna, twinnedWith, Lipany]
Generated description
Lipany is a small town in northeastern Slovakia known for its historical churches and traditional Slovak culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipany Target entity description: Lipany is a small town in northeastern Slovakia known for its historical churches and traditional Slovak culture.
-
A.
Lypky
Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
-
B.
Polyanka
Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
-
C.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
D.
Wilkasy
Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
-
E.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9fa0b08190ab1fc7ec395dca37 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f5b51c8190a8114450084d2b13 |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be69ed67f4819094656680ac3a174a |
completed | March 21, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6a368ca88190b57fdf7c8c9f4e60 |
completed | March 21, 2026, 9:51 a.m. |
Created at: March 20, 2026, 1:27 p.m.