Triple
T386191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Tidal Wave |
E8784
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Ploiești |
E36375
|
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: Ploiești | Statement: [Operation Tidal Wave, location, Ploiești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ploiești Context triple: [Operation Tidal Wave, location, Ploiești]
-
A.
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.
-
B.
Ploiești, Romania
chosen
Ploiești is a major Romanian city in Prahova County, historically known for its oil industry and refineries that made it a key European petroleum center.
-
C.
Constanța
Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
-
D.
Sighetu Marmației
Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
-
E.
Szeged
Szeged is a prominent city in southern Hungary known for its university, paprika production, and distinctive Art Nouveau architecture.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec447b5481908a5a084787b44ced |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4253ec4d48190bdaaf385c9a8e4a9 |
completed | March 1, 2026, 11:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.