Triple
T10638273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planetario Galileo Galilei |
E250648
|
entity |
| Predicate | hasProjectionRoom |
P95106
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Planetario Galileo Galilei, hasProjectionRoom, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProjectionRoom Context triple: [Planetario Galileo Galilei, hasProjectionRoom, yes]
-
A.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
B.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
-
C.
hasMapRoom
Indicates that an entity includes or provides access to a dedicated room or space used for displaying or working with maps.
-
D.
hasChangingRooms
Indicates that a place or facility provides designated rooms where people can change their clothes.
-
E.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfaf12188190a5774d4d64674653 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:04 p.m.