Triple
T15749215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipnica Murowana |
E381802
|
entity |
| Predicate | hasProtectedMonuments |
P115556
|
FINISHED |
| Object | historic wooden churches |
—
|
LITERAL 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: historic wooden churches | Statement: [Lipnica Murowana, hasProtectedMonuments, historic wooden churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectedMonuments Context triple: [Lipnica Murowana, hasProtectedMonuments, historic wooden churches]
-
A.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
B.
hasScheduledMonument
chosen
Indicates that an entity is associated with, or contains, a site or structure officially designated as a scheduled monument.
-
C.
hasCulturalProtection
Indicates that an entity is subject to legal or formal measures intended to preserve and safeguard its cultural value or heritage.
-
D.
isCulturalHeritageSite
Indicates that a place or structure is officially recognized and protected as having significant cultural, historical, or artistic value.
-
E.
hasImportantCulturalProperty
Indicates that an entity is recognized or designated as having significant cultural value or heritage importance.
- F. None of above.
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_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.