Triple
T31566631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wejherowo Calvary |
E805434
|
entity |
| Predicate | hasNumberOfStationsOfTheCross |
P75896
|
FINISHED |
| Object | approximately 26 |
—
|
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: approximately 26 | Statement: [Wejherowo Calvary, hasNumberOfStationsOfTheCross, approximately 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfStationsOfTheCross Context triple: [Wejherowo Calvary, hasNumberOfStationsOfTheCross, approximately 26]
-
A.
numberOfStationsOfTheCross
chosen
Indicates the total count of Stations of the Cross associated with a given subject.
-
B.
numberInStationsOfTheCross
Indicates the specific ordinal position that an event or scene occupies within the sequence of the Stations of the Cross.
-
C.
numberOfNotchesOnCrosier
Indicates the relationship that specifies how many notches are present on a given crosier.
-
D.
hasNumberOfCrosses
Indicates the quantity of crosses associated with or present on a given entity.
-
E.
hasNumberOfCloisterCapitals
Indicates the specific count of cloister capitals associated with a given 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 30, 2026, 10:17 p.m.