Triple
T7316256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veszprém |
E168418
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Suceava |
E406724
|
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: Suceava | Statement: [Veszprém, hasTwinTown, Suceava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suceava Context triple: [Veszprém, hasTwinTown, Suceava]
-
A.
Suceava
chosen
Suceava is a historic city in northeastern Romania that once served as the capital of the medieval Principality of Moldavia and is today an important cultural and economic center of the Bukovina region.
-
B.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
-
C.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
D.
Botoșani
Botoșani is a city in northeastern Romania known as a cultural and historical center of the Moldavia region.
-
E.
Buzău
Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86130228c819098544e5354c31b44 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:02 p.m.