Triple
T33735883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga fireball festival |
E864411
|
entity |
| Predicate | hasTypeOfPhenomenon |
P112065
|
FINISHED |
| Object | unexplained light phenomenon |
—
|
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: unexplained light phenomenon | Statement: [Naga fireball festival, hasTypeOfPhenomenon, unexplained light phenomenon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPhenomenon Context triple: [Naga fireball festival, hasTypeOfPhenomenon, unexplained light phenomenon]
-
A.
hasAssociatedPhenomenon
Indicates that one entity is linked to, or typically occurs together with, a particular phenomenon or observable event.
-
B.
examplePhenomenon
chosen
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
C.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
-
D.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
E.
encounteredPhenomenon
Indicates that an entity has come across, experienced, or observed a particular phenomenon.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1:44 a.m.