Triple
T10946587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brașov County |
E258611
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Săcele |
E896587
|
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: Săcele | Statement: [Brașov County, hasMunicipality, Săcele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Săcele Context triple: [Brașov County, hasMunicipality, Săcele]
-
A.
Săcele
chosen
Săcele is a town in central Romania known for its proximity to the city of Brașov and its location in the Carpathian Mountains region.
-
B.
Măgurele
Măgurele is a town in southern Romania known for its scientific research institutes and proximity to Bucharest.
-
C.
Crișul
Crișul is a river system in western Romania and eastern Hungary, known in Hungarian as Körös, that flows into the Tisza River.
-
D.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
E.
Crișul Alb
Crișul Alb is a river in western Romania that flows through the historical region of Crișana before joining the Körös (Criș) river system.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374226b6081909c8db367e7d468a5 |
completed | April 18, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:23 p.m.