Triple
T18307519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaunas District Municipality |
E438525
|
entity |
| Predicate | hasNotableSettlement |
P14082
|
FINISHED |
| Object |
Karmėlava
Karmėlava is a Lithuanian town near Kaunas known for hosting Kaunas International Airport and serving as a local transport and residential hub.
|
E1317985
|
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: Karmėlava | Statement: [Kaunas District Municipality, hasNotableSettlement, Karmėlava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karmėlava Context triple: [Kaunas District Municipality, hasNotableSettlement, Karmėlava]
-
A.
Kelmė
Kelmė is a small town in northern Lithuania known as the administrative center of Kelmė District Municipality and for its historic manor and surrounding rural landscapes.
-
B.
Ukmergė
Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
-
C.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
D.
Kuršėnai
Kuršėnai is a town in northern Lithuania known for its pottery traditions and location along the Venta River.
-
E.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
- 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: Karmėlava Triple: [Kaunas District Municipality, hasNotableSettlement, Karmėlava]
Generated description
Karmėlava is a Lithuanian town near Kaunas known for hosting Kaunas International Airport and serving as a local transport and residential hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karmėlava Target entity description: Karmėlava is a Lithuanian town near Kaunas known for hosting Kaunas International Airport and serving as a local transport and residential hub.
-
A.
Kelmė
Kelmė is a small town in northern Lithuania known as the administrative center of Kelmė District Municipality and for its historic manor and surrounding rural landscapes.
-
B.
Ukmergė
Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
-
C.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
D.
Kuršėnai
Kuršėnai is a town in northern Lithuania known for its pottery traditions and location along the Venta River.
-
E.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4bcc760819082f91ea8670a1f48 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c592f7d0819082d600901da2c2f6 |
completed | May 13, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c63ec8c48190bad47d423ab2cfe7 |
completed | May 13, 2026, 12:30 a.m. |
Created at: April 10, 2026, 10:35 a.m.