Triple
T22877817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian electorate |
E567373
|
entity |
| Predicate | approximateSizeIn2024 |
P150100
|
FINISHED |
| Object | over 200 million registered voters |
—
|
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: over 200 million registered voters | Statement: [Indonesian electorate, approximateSizeIn2024, over 200 million registered voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateSizeIn2024 Context triple: [Indonesian electorate, approximateSizeIn2024, over 200 million registered voters]
-
A.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
-
C.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
D.
approximateDiameter
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
E.
heightEstimate
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
- F. None of above. chosen
Provenance (4 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:39 p.m.