Triple
T12787777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oullins |
E305675
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Călimănești |
E464412
|
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: Călimănești | Statement: [Oullins, hasTwinTown, Călimănești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Călimănești Context triple: [Oullins, hasTwinTown, Călimănești]
-
A.
Călimănești
chosen
Călimănești is a Romanian spa town in Vâlcea County, known for its thermal springs and historic religious sites in the Olt River valley.
-
B.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
-
C.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
-
D.
Dumbrăveni
Dumbrăveni is a small town in central Romania known for its historical architecture and multicultural heritage within the Transylvanian region.
-
E.
Tărlungeni
Tărlungeni is a commune in Brașov County, Romania, known for its rural character and proximity to the city of Brașov in the historical region of Transylvania.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850703948190984acf9e434cd2a7 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.