Triple
T7468736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wels |
E176447
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bistrita |
E292702
|
NE FINISHED |
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: Bistrita | Statement: [Wels, hasTwinTown, Bistrita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bistrita Context triple: [Wels, hasTwinTown, Bistrita]
-
A.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
-
B.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
-
C.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
D.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
E.
Bistrița
chosen
Bistrița is a historic town in northern Transylvania, Romania, known for its medieval architecture and long-standing Transylvanian Saxon heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f6f23881908e3e80b0c7335a15 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83475392c8190a51d24e1530c0c83 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:40 p.m.