Triple
T11690543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 papal conclave |
E277855
|
entity |
| Predicate | electorsFromAsiaCount |
P16492
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [2013 papal conclave, electorsFromAsiaCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electorsFromAsiaCount Context triple: [2013 papal conclave, electorsFromAsiaCount, 10]
-
A.
numberOfElectedMembers
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
B.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
C.
hasElectors
Indicates that an entity is associated with one or more electors who have the authority to vote or make a selection on its behalf.
-
D.
electedFrom
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
-
E.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.