Triple
T21692320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihor County |
E535400
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Ștei
Ștei is a small industrial town in western Romania, situated in Bihor County near the Apuseni Mountains.
|
E1497308
|
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: Ștei | Statement: [Bihor County, hasTown, Ștei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ștei Context triple: [Bihor County, hasTown, Ștei]
-
A.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
B.
Bistrita
Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania 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.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
-
E.
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.
- 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: Ștei Triple: [Bihor County, hasTown, Ștei]
Generated description
Ștei is a small industrial town in western Romania, situated in Bihor County near the Apuseni Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ștei Target entity description: Ștei is a small industrial town in western Romania, situated in Bihor County near the Apuseni Mountains.
-
A.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
B.
Bistrita
Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania 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.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
-
E.
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.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96d0d4048190abfc3e3e06c51b8d |
completed | April 27, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e25541c8190a1194149a8961f70 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1ee2662c8190887c9fd2073fcd12 |
completed | May 17, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:45 p.m.