Triple
T5935224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Processional Way |
E132025
|
entity |
| Predicate | museumReconstruction |
P15855
|
FINISHED |
| Object | sections reconstructed in Pergamon Museum, Berlin |
—
|
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: sections reconstructed in Pergamon Museum, Berlin | Statement: [Processional Way, museumReconstruction, sections reconstructed in Pergamon Museum, Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumReconstruction Context triple: [Processional Way, museumReconstruction, sections reconstructed in Pergamon Museum, Berlin]
-
A.
refurbishedForMuseumUse
Indicates that something has been restored or modified specifically to be suitable for display or use in a museum context.
-
B.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
C.
museumConversionArchitect
Indicates that an architect was responsible for converting an existing structure into a museum.
-
D.
restorationProject
Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
-
E.
museumSection
chosen
Indicates that one entity is a section, area, or subdivision within a museum associated with the other 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.