Triple
T31566632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wejherowo Calvary |
E805434
|
entity |
| Predicate | hasNumberOfChapels |
P16477
|
FINISHED |
| Object | over 20 |
—
|
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: over 20 | Statement: [Wejherowo Calvary, hasNumberOfChapels, over 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfChapels Context triple: [Wejherowo Calvary, hasNumberOfChapels, over 20]
-
A.
hasChapels
Indicates that one entity contains, includes, or is associated with one or more chapels.
-
B.
hasChapelCountApprox
chosen
Indicates an approximate number of chapels associated with an entity.
-
C.
hasChapelLocation
Indicates that one entity serves as the physical location or site where a chapel associated with another entity is situated.
-
D.
housedInChapel
Indicates that something is located, kept, or contained within a chapel.
-
E.
eraOfOriginalChapel
Indicates the historical time period during which the original chapel associated with an entity was first constructed or established.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 30, 2026, 10:17 p.m.