Triple
T305118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Foundation Day |
E6279
|
entity |
| Predicate | monthOfYear |
P6433
|
FINISHED |
| Object | February |
—
|
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: February | Statement: [National Foundation Day, monthOfYear, February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monthOfYear Context triple: [National Foundation Day, monthOfYear, February]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
hasMonth
chosen
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
-
D.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
-
E.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea11c4908190a8723033bdf6f479 |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e93db11881909b07ba5e76d91feb |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.