Triple
T13781386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Era |
E331137
|
entity |
| Predicate | statisticalScope |
P110931
|
FINISHED |
| Object | records counted from 1968 onward |
—
|
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: records counted from 1968 onward | Statement: [Open Era, statisticalScope, records counted from 1968 onward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalScope Context triple: [Open Era, statisticalScope, records counted from 1968 onward]
-
A.
statisticalPurpose
Indicates that something is used for collecting, analyzing, or presenting data for statistical analysis or reporting purposes.
-
B.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
C.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
D.
statisticalImpact
Indicates that one entity has a measurable effect on the statistical properties, outcomes, or metrics associated with another entity.
-
E.
hasStatisticalRole
Indicates that an entity participates in a context (such as a study, dataset, or analysis) with a specific statistical function or role (e.g., variable, parameter, estimator).
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe98b5bc8190967907ec64d0317d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:11 p.m.