Triple
T15994739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector 4, Bucharest |
E387932
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Văcărești
Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
|
E1283053
|
NE FINISHED |
How this triple was built (4 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: Văcărești | Statement: [Sector 4, Bucharest, contains, Văcărești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Văcărești Context triple: [Sector 4, Bucharest, contains, Văcărești]
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
C.
Bușteni
Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
-
D.
Comănești
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
-
E.
Caransebeș
Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Văcărești Triple: [Sector 4, Bucharest, contains, Văcărești]
Generated description
Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Văcărești Target entity description: Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
C.
Bușteni
Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
-
D.
Comănești
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
-
E.
Caransebeș
Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
- F. None of above. chosen
Provenance (5 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785fad48190af0556e7ddfd29c5 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022308f26081909d9c77d8327fee8e |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a0227c9e3408190ad559cd97919235d |
completed | May 11, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02282bb2748190ad51b83c240cc429 |
completed | May 11, 2026, 7:04 p.m. |
Created at: April 10, 2026, 4:55 a.m.