Triple
T50408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam |
E989
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Moscow |
E1747
|
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: Moscow | Statement: [Amsterdam, hasSisterCity, Moscow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow Context triple: [Amsterdam, hasSisterCity, Moscow]
-
A.
Moscow
chosen
Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
-
B.
Volgograd
Volgograd is a major city in southwestern Russia on the Volga River, historically known as Stalingrad and renowned as the site of one of World War II’s most pivotal and brutal battles.
-
C.
St. Petersburg
St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
-
D.
Kremlin
The Kremlin is a historic fortified complex in the heart of Moscow that serves as the official residence of the Russian president and a symbol of Russian political power.
-
E.
Sevastopol
Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ec333fc8190b66776b947e0bdbd |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b85b11c08190b97de9b0382be6d5 |
completed | Feb. 28, 2026, 9:41 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.