Triple
T5979989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michał Rola-Żymierski |
E133094
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rola |
E133094
|
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: Rola | Statement: [Michał Rola-Żymierski, nickname, Rola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rola Context triple: [Michał Rola-Żymierski, nickname, Rola]
-
A.
Rola
chosen
Rola is the wartime nickname of Michał Rola-Żymierski, a Polish military leader and later communist-era Marshal of Poland.
-
B.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
C.
Piła
Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
-
D.
Tricity
Tricity is the urban conglomeration in northern India comprising Chandigarh and its adjoining cities of Mohali and Panchkula.
-
E.
Runda
Runda is an affluent residential suburb in Nairobi, Kenya, known for its large gated homes, embassies, and proximity to natural areas like Karura Forest.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a40233081909c04f62ec0382bfd |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e41d23848190bc7835eb6313b6a5 |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.