Triple
T1177964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moldova |
E25071
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Chișinău |
E134770
|
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: Chișinău | Statement: [Moldova, largestCity, Chișinău]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chișinău Context triple: [Moldova, largestCity, Chișinău]
-
A.
Chișinău
chosen
Chișinău is the largest city and main political, economic, and cultural center of Moldova.
-
B.
Bucharest
Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
-
C.
Minsk
Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
-
D.
Chernivtsi
Chernivtsi is a historic city in western Ukraine known for its multicultural heritage and distinctive Austro-Hungarian architecture, including the UNESCO-listed Chernivtsi National University complex.
-
E.
Bakhchisarai
Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd10ccc481908d5bcef648aab3c1 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac764827b881908cd2bb1e11e179f3 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.