Triple
T14866650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Saint Gellért |
E349631
|
entity |
| Predicate | subjectHasTimePeriod |
P97182
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [Statue of Saint Gellért, subjectHasTimePeriod, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasTimePeriod Context triple: [Statue of Saint Gellért, subjectHasTimePeriod, 11th century]
-
A.
appearsInTimePeriod
chosen
Indicates that an entity is present, active, or occurs within a specified time period.
-
B.
meetsInTimePeriod
Indicates that two entities encounter or come together during a specified time period.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
-
E.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.