Triple
T33018039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebration of Light |
E844827
|
entity |
| Predicate | mainViewingMedium |
P175917
|
FINISHED |
| Object | outdoor |
—
|
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: outdoor | Statement: [Celebration of Light, mainViewingMedium, outdoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainViewingMedium Context triple: [Celebration of Light, mainViewingMedium, outdoor]
-
A.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
B.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
C.
referenceMedium
Indicates that one entity serves as the medium, channel, or format through which another entity is referenced, accessed, or communicated.
-
D.
primaryPerformanceMedium
Indicates the main material, instrument, or medium through which a work, performance, or expression is primarily realized or presented.
-
E.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.