Triple
T5244443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresienwiese |
E118422
|
entity |
| Predicate | closingDateForOktoberfest |
P62353
|
FINISHED |
| Object | early October |
—
|
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: early October | Statement: [Theresienwiese, closingDateForOktoberfest, early October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingDateForOktoberfest Context triple: [Theresienwiese, closingDateForOktoberfest, early October]
-
A.
closingDateAtWaltDisneyStudiosPark
Indicates the date on which something (typically an attraction or feature) ceased operations specifically at Walt Disney Studios Park.
-
B.
closingDateAtDisneyCaliforniaAdventure
Indicates the date on which something (such as an attraction, event, or venue) stops operating or is officially closed at Disney California Adventure.
-
C.
finalSectionOpeningDate
Indicates the date on which the last or concluding section of something is officially opened or becomes available.
-
D.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
E.
finalAppTransitionDate
Indicates the date on which the final transition or change of state for the application was completed.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4fa0ec8190bce3da09aa768726 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.