Triple
T11593285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vâlcea County |
E274937
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Drăgășani
Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
|
E957504
|
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: Drăgășani | Statement: [Vâlcea County, hasCity, Drăgășani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drăgășani Context triple: [Vâlcea County, hasCity, Drăgășani]
-
A.
Zărnești
Zărnești is a small Romanian town in Brașov County, known as a key gateway to the Piatra Craiului Mountains and a popular base for hiking and nature tourism in the Carpathians.
-
B.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
-
C.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
-
D.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
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: Drăgășani Triple: [Vâlcea County, hasCity, Drăgășani]
Generated description
Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drăgășani Target entity description: Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
-
A.
Zărnești
Zărnești is a small Romanian town in Brașov County, known as a key gateway to the Piatra Craiului Mountains and a popular base for hiking and nature tourism in the Carpathians.
-
B.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
-
C.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
-
D.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4711f37988190b496640c32c5bc16 |
completed | May 1, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:38 p.m.