Triple
T5943503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelgava |
E132222
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Molėtai |
E422319
|
NE FINISHED |
How this triple was built (2 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: [Jelgava, hasTwinTown, Molėtai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molėtai Context triple: [Jelgava, hasTwinTown, Molėtai]
-
A.
Molėtai
chosen
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
-
B.
Kaišiadorys
Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
-
C.
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
D.
Pamūšis
Pamūšis is a small settlement in present-day Lithuania, historically notable as the birthplace of Russian field marshal Mikhail Barclay de Tolly.
-
E.
Šakiai
Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393641d0819081c6c44816d94e4e |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.