Triple
T15868928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector 1, Bucharest |
E384782
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object | Dorobanți |
E629484
|
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: Dorobanți | Statement: [Sector 1, Bucharest, containsPart, Dorobanți]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorobanți Context triple: [Sector 1, Bucharest, containsPart, Dorobanți]
-
A.
Dorobanți
chosen
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
-
B.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
C.
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.
-
D.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
-
E.
Ormeniș
Ormeniș is a village in Brașov County, central Romania, situated in the historical region of Țara Bârsei (Burzenland).
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f7fe8c81908fb60ada27b14c8b |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94a4d208190805d33da0e433092 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.