Triple
T11165975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohrungen district |
E264159
|
entity |
| Predicate | adminCenter |
P3892
|
FINISHED |
| Object | Morąg |
E220539
|
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: Morąg | Statement: [Mohrungen district, adminCenter, Morąg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morąg Context triple: [Mohrungen district, adminCenter, Morąg]
-
A.
Morąg
chosen
Morąg is a small historic town in northern Poland known for its lakeside surroundings and location within the Warmian-Masurian Voivodeship.
-
B.
Orlovika
Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
-
C.
Ustronie Morskie
Ustronie Morskie is a seaside resort village on the Baltic coast of northwestern Poland, known for its beaches and tourism.
-
D.
Morskie Oko
Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
-
E.
Шхара
Шхара — одна из самых высоких вершин Кавказа и высшая точка Грузии, расположенная в массиве Большого Кавказского хребта.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e887293081909830852000d533fa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4aced563c8190a56ab5ff0618d21f |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:29 p.m.