Triple
T14890337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalău |
E359737
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Zalău |
E359737
|
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: Zalău | Statement: [Zalău, hasOfficialName, Zalău]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zalău Context triple: [Zalău, hasOfficialName, Zalău]
-
A.
Zalău
chosen
Zalău is a city in northwestern Romania that serves as the capital of Sălaj County in the historical region of Transylvania.
-
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.
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.
-
D.
Onești
Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
-
E.
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.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8192548190ad268b5804c97060 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:09 a.m.