Triple
T12182180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Țara Bârsei |
E290246
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sânpetru
Sânpetru is a commune in Brașov County, Romania, known for its Saxon heritage, fortified church, and proximity to the city of Brașov.
|
E984640
|
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: Sânpetru | Statement: [Țara Bârsei, contains, Sânpetru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sânpetru Context triple: [Țara Bârsei, contains, Sânpetru]
-
A.
Săpânța
Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
-
B.
Cisnădie
Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
-
C.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
D.
Turnu Măgurele
Turnu Măgurele is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
E.
Drăgășani
Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
- 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: Sânpetru Triple: [Țara Bârsei, contains, Sânpetru]
Generated description
Sânpetru is a commune in Brașov County, Romania, known for its Saxon heritage, fortified church, and proximity to the city of Brașov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sânpetru Target entity description: Sânpetru is a commune in Brașov County, Romania, known for its Saxon heritage, fortified church, and proximity to the city of Brașov.
-
A.
Săpânța
Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
-
B.
Cisnădie
Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
-
C.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
D.
Turnu Măgurele
Turnu Măgurele is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
E.
Drăgășani
Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee46e608190ac824c3c8306013e |
completed | May 2, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_69f641a309cc8190b2403e62a6acfe58 |
completed | May 2, 2026, 6:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6427c162c8190ae2c027913d43b9e |
completed | May 2, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:50 p.m.