Triple
T3719180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Four Lands |
E81598
|
entity |
| Predicate | meetsAt |
P373
|
FINISHED |
| Object | Jarosław |
E284545
|
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: Jarosław | Statement: [Council of Four Lands, meetsAt, Jarosław]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarosław Context triple: [Council of Four Lands, meetsAt, Jarosław]
-
A.
Jarosław
chosen
Jarosław is a historic town in southeastern Poland known for its well-preserved Old Town and role as a former important trade center.
-
B.
Kalisz
Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
-
C.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
D.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
E.
Kielce
Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca99e4248190a6a91808010b8b05 |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a826850c8190b7c6853e12d09606 |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 8, 2026, 3:34 p.m.