Triple
T23711572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakhoras |
E585879
|
entity |
| Predicate | cathedralPaintingsRelocatedTo |
P153659
|
FINISHED |
| Object | National Museum in Warsaw |
—
|
NE NERFINISHED |
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: National Museum in Warsaw | Statement: [Pakhoras, cathedralPaintingsRelocatedTo, National Museum in Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cathedralPaintingsRelocatedTo Context triple: [Pakhoras, cathedralPaintingsRelocatedTo, National Museum in Warsaw]
-
A.
cathedralLocatedIn
Indicates that a cathedral is situated within or belongs to a specific geographic or administrative location.
-
B.
cathedralChurch
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
-
C.
cathedralSince
Indicates that an entity has held the status or function of a cathedral continuously from a specified point in time onward.
-
D.
cathedralUNESCOStatus
Indicates that a cathedral has a particular recognition or designation status from UNESCO.
-
E.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
- 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b77785d481908b401574b0de10b3 |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 6:54 p.m.