Triple
T20023240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFR Călători |
E494912
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Maramureș |
—
|
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: Maramureș | Statement: [CFR Călători, regionServed, Maramureș]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maramureș Context triple: [CFR Călători, regionServed, Maramureș]
-
A.
Maramureș region
chosen
The Maramureș region is a historic area in northern Romania renowned for its well-preserved rural traditions, wooden churches, and distinctive folk culture.
-
B.
Satu Mare
Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
-
C.
Piatra-Olt
Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
-
D.
Bistrița-Năsăud
Bistrița-Năsăud is a county in northern Romania, in the historical region of Transylvania, known for its mountainous landscapes, medieval heritage, and multicultural traditions.
-
E.
Caransebeș
Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628a1ecc8190bf6ee0bedb61e0b8 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.