Triple
T33596609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weather Storm (from Protection) |
E860582
|
entity |
| Predicate | originallyFeaturedOn |
P997
|
FINISHED |
| Object | Protection |
E653969
|
NE 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: Protection | Statement: [Weather Storm (from Protection), originallyFeaturedOn, Protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyFeaturedOn Context triple: [Weather Storm (from Protection), originallyFeaturedOn, Protection]
-
A.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
B.
originallyPublishedBy
Indicates that one entity is the original publisher or issuing source responsible for first making another entity publicly available.
-
C.
alsoFeatured
Indicates that an entity appears in addition to another primary entity within the same context, work, or presentation.
-
D.
featuredOn
chosen
Indicates that one entity is prominently presented, highlighted, or showcased on or within another entity (such as a platform, publication, or product).
-
E.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
- F. None of above.
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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a032d9200448190a2adcc5ee48bff01 |
completed | May 12, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35afeffc1081908251f0b157df8f28 |
completed | June 19, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_6a032c9f41f08190b1c60b0afbbac01a |
completed | May 12, 2026, 1:35 p.m. |
Created at: May 1, 2026, 1:41 a.m.