Triple
T17760044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwałki |
E443345
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Mariampolė, Lithuania |
—
|
NE NERFINISHED |
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: Mariampolė, Lithuania | Statement: [Suwałki, hasTwinTown, Mariampolė, Lithuania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariampolė, Lithuania Context triple: [Suwałki, hasTwinTown, Mariampolė, Lithuania]
-
A.
Marijampolė
chosen
Marijampolė is a city in southern Lithuania that serves as an important regional center for administration, culture, and industry.
-
B.
Panemunė, Lithuania
Panemunė is a town in southwestern Lithuania situated on the banks of the Neman River, directly across from Sovetsk, Russia, and known as a border crossing point between the two countries.
-
C.
Terikiai
Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
-
D.
Radviliškis
Radviliškis is a town in northern Lithuania known as a regional railway hub and administrative center within Šiauliai County.
-
E.
Vilkaviškis
Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48421c3048190b26864b72aad0d70 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.