Triple
T11835818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Christmas Tree (Edinburgh) |
E281512
|
entity |
| Predicate | typicalInstallationMonth |
P11688
|
FINISHED |
| Object | November |
—
|
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: November | Statement: [Norwegian Christmas Tree (Edinburgh), typicalInstallationMonth, November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInstallationMonth Context triple: [Norwegian Christmas Tree (Edinburgh), typicalInstallationMonth, November]
-
A.
typicalMonthOfOccurrence
chosen
Indicates the month in which something most commonly or typically occurs.
-
B.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
-
C.
appliesDuringMonths
Indicates that something is valid, active, or in effect only during specific months of the year.
-
D.
announcedInMonth
Indicates that an announcement or declaration occurred during a specified calendar month.
-
E.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.