Triple
T11364169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleorman County |
E269159
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Roșiorii de Vede
Roșiorii de Vede is a town in southern Romania known as one of the main urban centers of Teleorman County.
|
E921527
|
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: Roșiorii de Vede | Statement: [Teleorman County, hasCity, Roșiorii de Vede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roșiorii de Vede Context triple: [Teleorman County, hasCity, Roșiorii de Vede]
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Vulcănești
Vulcănești is a town in southern Moldova that serves as one of the key urban centers of the autonomous region of Gagauzia.
-
C.
Podul Mogoșoaiei
Podul Mogoșoaiei was the historic main thoroughfare of Bucharest, later modernized and renamed Calea Victoriei, and long served as a central axis of the city’s social and commercial life.
-
D.
Crișul Alb
Crișul Alb is a river in western Romania that flows through the historical region of Crișana before joining the Körös (Criș) river system.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- 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: Roșiorii de Vede Triple: [Teleorman County, hasCity, Roșiorii de Vede]
Generated description
Roșiorii de Vede is a town in southern Romania known as one of the main urban centers of Teleorman County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roșiorii de Vede Target entity description: Roșiorii de Vede is a town in southern Romania known as one of the main urban centers of Teleorman County.
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Vulcănești
Vulcănești is a town in southern Moldova that serves as one of the key urban centers of the autonomous region of Gagauzia.
-
C.
Podul Mogoșoaiei
Podul Mogoșoaiei was the historic main thoroughfare of Bucharest, later modernized and renamed Calea Victoriei, and long served as a central axis of the city’s social and commercial life.
-
D.
Crișul Alb
Crișul Alb is a river in western Romania that flows through the historical region of Crișana before joining the Körös (Criș) river system.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea4589908190948a8225768e1eec |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5565df5508190aeda7d064bceb157 |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562c6e7c8819098d22a6e0daa4a51 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a472f0c819086c1cccaa5ca0ae7 |
completed | April 19, 2026, 11:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.