Triple
T4723385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of San Giorgio Maggiore |
E104821
|
entity |
| Predicate | hasChoirStalls |
P59035
|
FINISHED |
| Object | wooden choir stalls |
—
|
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: wooden choir stalls | Statement: [Church of San Giorgio Maggiore, hasChoirStalls, wooden choir stalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoirStalls Context triple: [Church of San Giorgio Maggiore, hasChoirStalls, wooden choir stalls]
-
A.
hasChoir
Indicates that an entity possesses, maintains, or is associated with a choir.
-
B.
hasChoristersSingAt
Indicates that choristers perform singing at a specified event, location, or occasion.
-
C.
hasChapels
Indicates that one entity contains, includes, or is associated with one or more chapels.
-
D.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
E.
hasChapelCountApprox
Indicates an approximate number of chapels associated with an entity.
- F. None of above. chosen
Provenance (4 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:18 p.m.