Triple
T14618535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Moldavia |
E343152
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Comănești
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
|
E1118447
|
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: Comănești | Statement: [Western Moldavia, containsCity, Comănești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comănești Context triple: [Western Moldavia, containsCity, Comănești]
-
A.
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.
-
B.
Cisnădie
Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
-
C.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
D.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
E.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
- 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: Comănești Triple: [Western Moldavia, containsCity, Comănești]
Generated description
Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comănești Target entity description: Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
-
A.
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.
-
B.
Cisnădie
Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
-
C.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
D.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
E.
Crângași
Crângași is a residential neighborhood in western Bucharest, Romania, known for its large park and lakeside recreational areas along Lacul Morii.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd952ec8190ae3013297e81309e |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe157bac5081908dd3d1450f7df22c |
completed | May 8, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe161316908190931ffaa75c51de05 |
completed | May 8, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:25 a.m.