Triple
T16296182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1914 papal conclave |
E395651
|
entity |
| Predicate | blackSmokeIndicatedNoElection |
P36539
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [1914 papal conclave, blackSmokeIndicatedNoElection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blackSmokeIndicatedNoElection Context triple: [1914 papal conclave, blackSmokeIndicatedNoElection, yes]
-
A.
smokeSignalColorForNoElection
chosen
Indicates that the color of the smoke signal corresponds to a situation where no election result has been reached or no election has occurred.
-
B.
notElectedBy
Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
-
C.
losesElectionFor
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
-
D.
smokeSignalColorForElection
Indicates that a specific color of smoke signal is used to communicate the outcome or status of an election.
-
E.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.