Triple
T13201959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal conclave |
E314262
|
entity |
| Predicate | whiteSmokeMeaning |
P109021
|
FINISHED |
| Object | A pope has been elected |
—
|
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: A pope has been elected | Statement: [Papal conclave, whiteSmokeMeaning, A pope has been elected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteSmokeMeaning Context triple: [Papal conclave, whiteSmokeMeaning, A pope has been elected]
-
A.
smokeColor
Indicates the color attribute associated with a given instance of smoke.
-
B.
smokePurpose
Indicates that the action or event of smoking is carried out with a particular purpose, goal, or intended function.
-
C.
smokeImpact
Indicates the effect or influence that smoke has on a target entity or condition.
-
D.
smokeSignalColorForFailure
Indicates that a particular color of smoke signal is used to represent or communicate a failure condition.
-
E.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:16 p.m.