Triple
T30128714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Statistical Society |
E765769
|
entity |
| Predicate | SeriesBField |
P180445
|
FINISHED |
| Object | statistical methodology |
—
|
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: statistical methodology | Statement: [Royal Statistical Society, SeriesBField, statistical methodology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SeriesBField Context triple: [Royal Statistical Society, SeriesBField, statistical methodology]
-
A.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
B.
magneticFieldStrength
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
C.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
-
D.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
E.
typicalFieldStrength
Indicates the usual or characteristic magnitude of a field (such as electric, magnetic, or other physical field) associated with an entity or situation.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: April 29, 2026, 7:14 p.m.