Triple
T15749551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawor Church of Peace |
E381811
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Jawor |
E646006
|
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: Jawor | Statement: [Jawor Church of Peace, locatedIn, Jawor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jawor Context triple: [Jawor Church of Peace, locatedIn, Jawor]
-
A.
Jawor
chosen
Jawor is a historic town in southwestern Poland known for its UNESCO-listed timber-framed Church of Peace and well-preserved medieval architecture.
-
B.
Rytwiany
Rytwiany is a village in south-central Poland known for its historic monastery complex and role as a local administrative center.
-
C.
Sylko
Sylko is a brand of sewing and embroidery threads historically associated with the textile company J. & P. Coats.
-
D.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
E.
Geremek
Geremek is a Polish surname most notably associated with Bronisław Geremek, a prominent historian, Solidarity activist, and post-communist foreign minister of Poland.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830b85408190b9ae4d6752524b99 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.