Triple
T25736541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catatumbo lightning |
E645390
|
entity |
| Predicate | lightningType |
P159199
|
FINISHED |
| Object | predominantly intra-cloud lightning |
—
|
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: predominantly intra-cloud lightning | Statement: [Catatumbo lightning, lightningType, predominantly intra-cloud lightning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightningType Context triple: [Catatumbo lightning, lightningType, predominantly intra-cloud lightning]
-
A.
hasLightningProtection
Indicates that an entity is equipped with or incorporates a system designed to protect it from lightning strikes or their effects.
-
B.
affectedByLightningRod
Indicates that an entity is influenced, protected, or otherwise impacted as a result of the presence or action of a lightning rod.
-
C.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
D.
hasLightningLane
Indicates that an attraction, experience, or location offers access via a Lightning Lane queue or reservation system.
-
E.
lighthouseType
Indicates the specific classification or category of a lighthouse based on its design, function, or operational characteristics.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcbf71308190a81518c504d5632d |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 11:27 p.m.