Triple
T22179411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guantanamera |
E548128
|
entity |
| Predicate | hasApproximateCompositionPeriod |
P115721
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Guantanamera, hasApproximateCompositionPeriod, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateCompositionPeriod Context triple: [Guantanamera, hasApproximateCompositionPeriod, 1930s]
-
A.
approximateCompletionEra
Indicates the general historical period or time range during which something was completed, without specifying an exact date.
-
B.
hasUnknownExactDateOfComposition
Indicates that the precise date when a work was composed is not known.
-
C.
timePeriodApproximation
chosen
Indicates that the associated time period is an estimate or approximation rather than an exact, precise value.
-
D.
historicalComposition
Indicates that one entity was historically part of, or contributed to the makeup or structure of, another entity during a past period.
-
E.
hasNearbyHistoricPeriod
Indicates that one historic period occurs close in time or space to another historic period.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa3af308190bbddadfa3066f850 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:34 p.m.