Triple
T8364384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oltenia Museum |
E197088
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Craiova |
E197088
|
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: Craiova | Statement: [Oltenia Museum, locatedIn, Craiova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craiova Context triple: [Oltenia Museum, locatedIn, Craiova]
-
A.
Craiova
chosen
Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
-
B.
Timișoara
Timișoara is a major city in western Romania known for its historical architecture, multicultural heritage, and role as a key economic and cultural center.
-
C.
Ploiești
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
-
D.
Bucharest
Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
-
E.
Cluj-Napoca
Cluj-Napoca is a major city in northwestern Romania, known as a cultural, academic, and economic hub of the Transylvania 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808a67f88190849152102bfeb574 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016c8b6f0819084d14fec00aad335 |
completed | April 3, 2026, 7:36 p.m. |
Created at: March 30, 2026, 6 p.m.