Triple
T22278845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jassy |
E550678
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Jassy, Romania |
—
|
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: Jassy, Romania | Statement: [Jassy, alternativeName, Jassy, Romania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jassy, Romania Context triple: [Jassy, alternativeName, Jassy, Romania]
-
A.
Jassy
chosen
Jassy (now known as Iași) is a historic city in northeastern Romania that has long served as a major cultural, political, and academic center of the region.
-
B.
Jassy
Jassy is the surname of Andy Jassy, the American business executive and CEO of Amazon.
-
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.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
E.
Otopeni
Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eaa8cec819081c2ad031154ebe7 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.