Triple
T15749110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wooden Tserkvas of the Carpathian Region in Poland and Ukraine |
E381800
|
entity |
| Predicate | numberOfComponentSitesInPoland |
P14032
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Wooden Tserkvas of the Carpathian Region in Poland and Ukraine, numberOfComponentSitesInPoland, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfComponentSitesInPoland Context triple: [Wooden Tserkvas of the Carpathian Region in Poland and Ukraine, numberOfComponentSitesInPoland, 8]
-
A.
numberOfSites
chosen
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
B.
lengthInPoland
Indicates that the specified length measurement is taken within the context or territory of Poland.
-
C.
hasNumberOfComponentCities
Indicates the relationship that specifies how many component cities are contained within or associated with a given entity.
-
D.
hasNumberOfRuralGminas
Indicates the total count of rural gminas (rural administrative districts) associated with a given territorial unit or entity.
-
E.
hasNumberOfMunicipalities
Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
- 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.