Triple
T22278844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jassy |
E550678
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Iassy |
—
|
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: Iassy | Statement: [Jassy, alternativeName, Iassy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iassy Context triple: [Jassy, alternativeName, Iassy]
-
A.
Anatol
Anatol is a 1893 cycle of short plays by Arthur Schnitzler that portrays the romantic entanglements and psychological nuances of a charming yet fickle Viennese bachelor.
-
B.
Bistrita
chosen
Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania region.
-
C.
Yarbay
Yarbay is a mid-level field officer rank in the Turkish Armed Forces, equivalent to a lieutenant colonel in many other military organizations.
-
D.
Belasitsa
Belasitsa is a mountain range in the Balkans, spanning parts of Bulgaria, Greece, and North Macedonia and known for its rich biodiversity and scenic hiking routes.
-
E.
Mehadia
Mehadia is a historic spa village in southwestern Romania, known for its thermal springs and scenic location in the Banat region.
- 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.