Triple
T15542261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oltenia |
E370507
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Băilești |
E439643
|
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: Băilești | Statement: [Oltenia, containsCity, Băilești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Băilești Context triple: [Oltenia, containsCity, Băilești]
-
A.
Băilești
chosen
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
Balș
Balș is a small town in southern Romania, situated in Olt County and known for its local industry and agricultural surroundings.
-
C.
Bușteni
Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
-
D.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
-
E.
Buzău
Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b809739081908bd44b383daa5f57 |
completed | May 11, 2026, 11:05 a.m. |
Created at: April 10, 2026, 4:07 a.m.