Triple
T11746667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aukštaitija |
E279296
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Kupiškis
Kupiškis is a small town in northeastern Lithuania known for its historical architecture and location within the ethnographic region of Aukštaitija.
|
E949557
|
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: Kupiškis | Statement: [Aukštaitija, majorCity, Kupiškis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupiškis Context triple: [Aukštaitija, majorCity, Kupiškis]
-
A.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
B.
Terikiai
Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
-
C.
Sakiai
Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
-
D.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
-
E.
Marčiulionis
Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
- 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: Kupiškis Triple: [Aukštaitija, majorCity, Kupiškis]
Generated description
Kupiškis is a small town in northeastern Lithuania known for its historical architecture and location within the ethnographic region of Aukštaitija.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kupiškis Target entity description: Kupiškis is a small town in northeastern Lithuania known for its historical architecture and location within the ethnographic region of Aukštaitija.
-
A.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
B.
Terikiai
Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
-
C.
Sakiai
Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
-
D.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
-
E.
Marčiulionis
Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16695479c819082c6ab12657a2d5f |
completed | April 29, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 8, 2026, 9:41 p.m.