Triple
T16489807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Capital of Culture programme |
E400538
|
entity |
| Predicate | timeSpanOfCurrentFramework |
P302
|
FINISHED |
| Object | 2020–2033 |
—
|
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: 2020–2033 | Statement: [European Capital of Culture programme, timeSpanOfCurrentFramework, 2020–2033]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfCurrentFramework Context triple: [European Capital of Culture programme, timeSpanOfCurrentFramework, 2020–2033]
-
A.
timeSpanIncludes
Indicates that one time span fully contains or covers the entire duration of another time span.
-
B.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
C.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
D.
timeDomain
Indicates that something is characterized, defined, or analyzed with respect to time rather than another domain (such as frequency or space).
-
E.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e2e3bf88190ba6eac85a79e5ac8 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:13 a.m.