Triple
T16356245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swazi traditional religion |
E397185
|
entity |
| Predicate | linksFestivalTo |
P123104
|
FINISHED |
| Object | renewal of kingship |
—
|
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: renewal of kingship | Statement: [Swazi traditional religion, linksFestivalTo, renewal of kingship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linksFestivalTo Context triple: [Swazi traditional religion, linksFestivalTo, renewal of kingship]
-
A.
linkedFestival
Indicates that two entities are associated through a common festival, event, or celebration.
-
B.
peerFestival
Indicates that two festivals are considered peers, sharing a comparable status, scale, or role within a given context.
-
C.
festivalOrganiser
Indicates that one entity is responsible for planning, coordinating, or managing a festival for another entity or context.
-
D.
festivalPresence
Indicates that an entity is present at, participates in, or is associated with a particular festival event.
-
E.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facf67e0819089a23ce6f5642fbe |
completed | April 18, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.