Triple
T11690544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 papal conclave |
E277855
|
entity |
| Predicate | electorsFromOceaniaCount |
P16492
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2013 papal conclave, electorsFromOceaniaCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electorsFromOceaniaCount Context triple: [2013 papal conclave, electorsFromOceaniaCount, 1]
-
A.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
B.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
-
C.
electoratesCalled
Indicates that specific electoral districts or constituencies are given particular names or designations.
-
D.
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.
-
E.
electorateApprox
Indicates an approximate or estimated size or value of an electorate associated with an entity.
- 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.