Triple
T7170657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šiauliai offensive |
E167186
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Šiauliai |
E556607
|
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: Šiauliai | Statement: [Šiauliai offensive, location, Šiauliai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šiauliai Context triple: [Šiauliai offensive, location, Šiauliai]
-
A.
Šiauliai
chosen
Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
-
B.
Šilutė
Šilutė is a town in western Lithuania known for its location near the Nemunas River delta and its historical ties to the former East Prussian region.
-
C.
Vilkaviškis
Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
-
D.
Telšiai
Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
-
E.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85ec718819085af59fadee9d22d |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b910c2688190b28573c5d58542d5 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.