Triple
T15105168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sieradz Land |
E360770
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Zduńska Wola |
—
|
NE NERFINISHED |
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: Zduńska Wola | Statement: [Sieradz Land, hasSettlement, Zduńska Wola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zduńska Wola Context triple: [Sieradz Land, hasSettlement, Zduńska Wola]
-
A.
Zduńska Wola
chosen
Zduńska Wola is a town in central Poland known historically as a textile and industrial center.
-
B.
Zwoleń
Zwoleń is a historic town in east-central Poland known for its medieval origins and association with the Renaissance poet Jan Kochanowski.
-
C.
Jaworzno
Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
-
D.
Zawadzkie
Zawadzkie is a small town in southwestern Poland known for its industrial heritage and location within the Opole region.
-
E.
Krotoszyn
Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00588f35481909674f161bf0f3918 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 10, 2026, 3:05 a.m.