Triple
T6958934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector 2 |
E161317
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Colentina
Colentina is a residential neighborhood in northeastern Bucharest, Romania, known for its dense housing, commercial areas, and location along the Colentina River.
|
E631426
|
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: Colentina | Statement: [Sector 2, contains, Colentina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colentina Context triple: [Sector 2, contains, Colentina]
-
A.
Costel
Costel is a Romanian masculine given name, commonly used as a diminutive or variant of Constantin.
-
B.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
C.
Noasca
Noasca is a small Italian mountain village in the Piedmont region, known as a gateway to the Gran Paradiso National Park and a base for alpine hiking and nature tourism.
-
D.
Giurgiu
Giurgiu is a city in southern Romania on the Danube River, serving as an important border crossing and transport link with the Bulgarian city of Ruse.
-
E.
Nicușor
Nicușor is a Romanian masculine given name, often used as a diminutive or affectionate form of Nicolae.
- 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: Colentina Triple: [Sector 2, contains, Colentina]
Generated description
Colentina is a residential neighborhood in northeastern Bucharest, Romania, known for its dense housing, commercial areas, and location along the Colentina River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colentina Target entity description: Colentina is a residential neighborhood in northeastern Bucharest, Romania, known for its dense housing, commercial areas, and location along the Colentina River.
-
A.
Costel
Costel is a Romanian masculine given name, commonly used as a diminutive or variant of Constantin.
-
B.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
C.
Noasca
Noasca is a small Italian mountain village in the Piedmont region, known as a gateway to the Gran Paradiso National Park and a base for alpine hiking and nature tourism.
-
D.
Giurgiu
Giurgiu is a city in southern Romania on the Danube River, serving as an important border crossing and transport link with the Bulgarian city of Ruse.
-
E.
Nicușor
Nicușor is a Romanian masculine given name, often used as a diminutive or affectionate form of Nicolae.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75893a4808190b94a70d8823a01d3 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759d65a008190a6121949651dcd5c |
completed | March 28, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a7a0af88190abf9d1dc4efd8b29 |
completed | March 28, 2026, 4:35 a.m. |
Created at: March 27, 2026, 2:29 p.m.