Triple
T20023237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFR Călători |
E494912
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Dobruja |
—
|
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: Dobruja | Statement: [CFR Călători, regionServed, Dobruja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobruja Context triple: [CFR Călători, regionServed, Dobruja]
-
A.
Dobruja
chosen
Dobruja is a historical region in southeastern Europe along the Black Sea coast, divided between Romania and Bulgaria and known for its diverse cultural heritage and strategic location.
-
B.
Предбалкан
Предбалкан е географска област в България, представляваща преходната хълмиста зона между Дунавската равнина и Стара планина.
-
C.
Roumeli
Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
-
D.
Preševo
Preševo is a town and municipality in southern Serbia near the borders with North Macedonia and Kosovo, known for its significant Albanian population and strategic location along the main Balkan transport corridor.
-
E.
Balkanabat
Balkanabat is a significant urban and administrative center in western Turkmenistan, known for serving as a regional hub for the country's oil and gas industry.
- 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.