Triple
T10828555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argeș County |
E255555
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Costești
Costești is a small town in southern Romania, located in Argeș County within the historical region of Muntenia.
|
E886902
|
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: Costești | Statement: [Argeș County, hasTown, Costești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costești Context triple: [Argeș County, hasTown, Costești]
-
A.
Costinești
Costinești is a Romanian Black Sea coastal resort village known for its youthful summer tourism, beaches, and lively nightlife.
-
B.
Oltenița
Oltenița is a town in southern Romania on the banks of the Danube River, historically noted as the site of the Battle of Oltenitza during the Crimean War.
-
C.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
D.
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.
-
E.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
- 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: Costești Triple: [Argeș County, hasTown, Costești]
Generated description
Costești is a small town in southern Romania, located in Argeș County within the historical region of Muntenia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Costești Target entity description: Costești is a small town in southern Romania, located in Argeș County within the historical region of Muntenia.
-
A.
Costinești
Costinești is a Romanian Black Sea coastal resort village known for its youthful summer tourism, beaches, and lively nightlife.
-
B.
Oltenița
Oltenița is a town in southern Romania on the banks of the Danube River, historically noted as the site of the Battle of Oltenitza during the Crimean War.
-
C.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
D.
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.
-
E.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d3eab88190b30a3025b6b2b0bc |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
| NEDg | Description generation | batch_69de8956d9f081909d076c5e413c1f74 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8e80fe80819088ac76bb5abc58f0 |
completed | April 14, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:19 p.m.