Triple
T16144900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 October Vereeniging |
E391753
|
entity |
| Predicate | hasFestivalDate |
P66906
|
FINISHED |
| Object | 3 October |
—
|
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: 3 October | Statement: [3 October Vereeniging, hasFestivalDate, 3 October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFestivalDate Context triple: [3 October Vereeniging, hasFestivalDate, 3 October]
-
A.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasFestivalPeriod
chosen
Indicates that there is a specific time period during which a festival or celebratory event takes place.
-
C.
hasFestivalContext
Indicates that something is related to, occurs within, or is characterized by the setting, activities, or circumstances of a festival.
-
D.
hasFestivalSection
Indicates that something includes or is associated with a specific section or category within a festival.
-
E.
hasFestivalSite
Indicates that a location or site is designated or used as the venue where a festival takes place.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d92b0408190a010bd8e5193aa36 |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.