Triple
T4221344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panevėžys |
E94346
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Molėtai
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
|
E422319
|
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: Molėtai | Statement: [Panevėžys, hasTwinTown, Molėtai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molėtai Context triple: [Panevėžys, hasTwinTown, Molėtai]
-
A.
Kaišiadorys
Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
-
B.
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
C.
Šakiai
Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
-
D.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
E.
Sudeikis
Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
- 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: Molėtai Triple: [Panevėžys, hasTwinTown, Molėtai]
Generated description
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molėtai Target entity description: Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
-
A.
Kaišiadorys
Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
-
B.
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
C.
Šakiai
Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
-
D.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
E.
Sudeikis
Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e0e06d881908e3aa8ef1a90c010 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963ffacc8190843b60ea1b224f91 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596b842648190a6f00c37e23e311f |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59769936081908c42c0006b6ad9c3 |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:04 p.m.