Triple
T12506575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba County |
E298962
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sebeș |
E290242
|
NE FINISHED |
How this triple was built (2 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: Sebeș | Statement: [Alba County, hasCity, Sebeș]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebeș Context triple: [Alba County, hasCity, Sebeș]
-
A.
Sebeș
chosen
Sebeș is a historic town in central Romania’s Transylvania region, notable as an important medieval center of the Transylvanian Saxon community.
-
B.
Berbești
Berbești is a small town in south-central Romania known for its role in the regional mining and energy industry within Vâlcea County.
-
C.
Beiuș
Beiuș is a small historic town in western Romania’s Bihor County, known for its traditional architecture and role as a local cultural and educational center in the Crișana region.
-
D.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
E.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb778e081909bab2ef87226c6a0 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.