Triple
T12420740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-Saint-Georges |
E296761
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Băicoi |
E500879
|
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: Băicoi | Statement: [Villeneuve-Saint-Georges, hasTwinTown, Băicoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Băicoi Context triple: [Villeneuve-Saint-Georges, hasTwinTown, Băicoi]
-
A.
Băicoi
chosen
Băicoi is a small industrial town in Prahova County, Romania, known for its oil industry and proximity to the city of Ploiești.
-
B.
Beiuș
Beiuș is a small historic town in western Romania’s Bihor County, known for its traditional architecture and role as a local cultural and educational center in the Crișana region.
-
C.
Băbeni
Băbeni is a small town in south-central Romania, located in Vâlcea County within the historical region of Oltenia.
-
D.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
-
E.
Dumbrăveni
Dumbrăveni is a small town in central Romania known for its historical architecture and multicultural heritage within the Transylvanian region.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea44a808190af2c5a6633120814 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.