Triple
T8109259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prahova County |
E189305
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Slănic
Slănic is a small Romanian spa town in Prahova County, best known for its impressive salt mine and therapeutic salt baths.
|
E712687
|
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: Slănic | Statement: [Prahova County, hasTown, Slănic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slănic Context triple: [Prahova County, hasTown, Slănic]
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
-
C.
Bârsana
Bârsana is a village in northern Romania renowned for its wooden monastery complex, a notable example of traditional Maramureș architecture and a UNESCO-listed heritage site.
-
D.
Rășinari
Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
-
E.
Rădăuți
Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
- 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: Slănic Triple: [Prahova County, hasTown, Slănic]
Generated description
Slănic is a small Romanian spa town in Prahova County, best known for its impressive salt mine and therapeutic salt baths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slănic Target entity description: Slănic is a small Romanian spa town in Prahova County, best known for its impressive salt mine and therapeutic salt baths.
-
A.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
B.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
-
C.
Bârsana
Bârsana is a village in northern Romania renowned for its wooden monastery complex, a notable example of traditional Maramureș architecture and a UNESCO-listed heritage site.
-
D.
Rășinari
Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
-
E.
Rădăuți
Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fbc57c81908c6be87bbc547085 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9421794081909170ea11b09ae357 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc95bfb2b08190ae4bbf8fdde3165d |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc97781c0481909d21293633d111be |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.