Triple
T19352846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorj County |
E484064
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Turceni
Turceni is a town in southwestern Romania known for its large coal-fired power plant and role in the regional energy industry.
|
E1372020
|
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: Turceni | Statement: [Gorj County, contains, Turceni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turceni Context triple: [Gorj County, contains, Turceni]
-
A.
Vaslui
Vaslui is a city in eastern Romania, serving as the capital of Vaslui County and known for its historical significance in the Moldavia region.
-
B.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
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.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
E.
Oravița
Oravița is a historic town in southwestern Romania known for its early railway heritage and cultural landmarks.
- 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: Turceni Triple: [Gorj County, contains, Turceni]
Generated description
Turceni is a town in southwestern Romania known for its large coal-fired power plant and role in the regional energy industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turceni Target entity description: Turceni is a town in southwestern Romania known for its large coal-fired power plant and role in the regional energy industry.
-
A.
Vaslui
Vaslui is a city in eastern Romania, serving as the capital of Vaslui County and known for its historical significance in the Moldavia region.
-
B.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
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.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
E.
Oravița
Oravița is a historic town in southwestern Romania known for its early railway heritage and cultural landmarks.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072409b48c819081a0e5510e91d636 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a0725e546488190988000d77c961c0f |
completed | May 15, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726a79b308190a584bc808f4b2faa |
completed | May 15, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:34 p.m.