Triple
T22807952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chișinău railway station |
E564590
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chișinău Municipality |
—
|
NE NERFINISHED |
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 Municipality | Statement: [Chișinău railway station, locatedIn, Chișinău Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chișinău Municipality Context triple: [Chișinău railway station, locatedIn, Chișinău Municipality]
-
A.
Chișinău
chosen
Chișinău is the largest city and main political, economic, and cultural center of Moldova.
-
B.
Tiraspol
Tiraspol is the de facto capital and largest city of the unrecognized breakaway region of Transnistria in eastern Moldova.
-
C.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
D.
Câmpulung Moldovenesc
Câmpulung Moldovenesc is a town in northeastern Romania’s Bukovina region, known for its surrounding Carpathian mountain landscapes and traditional Moldavian culture.
-
E.
Soroca District
Soroca District is an administrative region in northern Moldova, known for its historic town of Soroca and its prominent medieval fortress on the Dniester River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5e0b088190ad0b9cc0d5aa1d96 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.