Triple
T29249556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Anne’s Church in Warsaw |
E741523
|
entity |
| Predicate | bellTowerFunction |
P132657
|
FINISHED |
| Object | viewing terrace |
—
|
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: viewing terrace | Statement: [St. Anne’s Church in Warsaw, bellTowerFunction, viewing terrace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bellTowerFunction Context triple: [St. Anne’s Church in Warsaw, bellTowerFunction, viewing terrace]
-
A.
bellTowerStyle
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
B.
bellTowerCharacteristic
chosen
Indicates that a specified characteristic or feature is associated with a bell tower.
-
C.
bellTowerCompletionDate
Indicates the date on which a bell tower was completed or finished being constructed.
-
D.
bellTowerAddedIn
Indicates that a bell tower was added to a structure or site during a specific time or event.
-
E.
bellTowerConstructionStart
Indicates the time or event at which the construction of a bell tower begins.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6648c0f048190be1f88ebc124f63e |
completed | May 2, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:33 p.m.