Triple
T17278347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzhsky District |
E419450
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Luga |
E201599
|
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: Luga | Statement: [Luzhsky District, administrativeCenter, Luga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luga Context triple: [Luzhsky District, administrativeCenter, Luga]
-
A.
Luga
chosen
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
B.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
C.
Lugana
Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
-
D.
Lugur
Lugur is one of the small islands that make up Namoluk Atoll in the Federated States of Micronesia.
-
E.
Ludag
Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195488d2c81908ac6c19f54f61796 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.