Triple
T2544706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 papal conclave |
E57870
|
entity |
| Predicate | smokeSignalColorForSuccess |
P36538
|
FINISHED |
| Object | white smoke |
—
|
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: white smoke | Statement: [2005 papal conclave, smokeSignalColorForSuccess, white smoke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokeSignalColorForSuccess Context triple: [2005 papal conclave, smokeSignalColorForSuccess, white smoke]
-
A.
smokeSignalColorForElection
chosen
Indicates that a specific color of smoke signal is used to communicate the outcome or status of an election.
-
B.
smokeSignalColorForNoElection
Indicates that the color of the smoke signal corresponds to a situation where no election result has been reached or no election has occurred.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
crestColor
Indicates the color characteristic of an entity’s crest.
-
E.
coneColor
Indicates that one entity is the color attribute assigned to a cone-shaped object.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.