Triple
T2544693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 papal conclave |
E57870
|
entity |
| Predicate | maximumElectorsAllowed |
P16492
|
FINISHED |
| Object | 120 |
—
|
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: 120 | Statement: [2005 papal conclave, maximumElectorsAllowed, 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumElectorsAllowed Context triple: [2005 papal conclave, maximumElectorsAllowed, 120]
-
A.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
-
B.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
-
C.
electoralThreshold
Indicates the minimum share of votes a party or candidate must receive to gain representation or seats in an election.
-
D.
numberOfMinistersLimit
Indicates a constraint specifying the maximum allowable number of ministers in a given context or governing body.
-
E.
maximumNumberOfTermsForGovernor
Indicates the highest number of terms that a governor is allowed to serve in office.
- 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.