Triple
T11746671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aukštaitija |
E279296
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Anykščiai |
E620182
|
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: Anykščiai | Statement: [Aukštaitija, majorCity, Anykščiai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anykščiai Context triple: [Aukštaitija, majorCity, Anykščiai]
-
A.
Anykščiai
chosen
Anykščiai is a historic town in northeastern Lithuania known for its scenic landscapes, cultural heritage, and role as a regional tourism center.
-
B.
Kaišiadorys
Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
-
C.
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.
-
D.
Pardais
Pardais is a civil parish in the municipality of Vila Viçosa, in Portugal’s Alentejo region.
-
E.
Molėtai
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
- 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_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_69f019f5f29c81909d80a9e6127ec6ef |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.