Triple
T747301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Opera |
E15370
|
entity |
| Predicate | typicalSeasonLength |
P8177
|
FINISHED |
| Object | September to May |
—
|
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: September to May | Statement: [Metropolitan Opera, typicalSeasonLength, September to May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSeasonLength Context triple: [Metropolitan Opera, typicalSeasonLength, September to May]
-
A.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
B.
seasonDuration
chosen
Indicates the length of time that a particular season lasts.
-
C.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
-
D.
typicalStartSeason
Indicates the season during which something (such as an activity, event, or phenomenon) usually begins.
-
E.
typicalNumberOfMeetingsPerSeason
Indicates the usual or average count of meetings that occur within a single season.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.