Triple
T28670565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Women’s History Month |
E725706
|
entity |
| Predicate | expandedToMonthBy |
P171466
|
FINISHED |
| Object | United States Congress |
—
|
NE NERFINISHED |
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: United States Congress | Statement: [National Women’s History Month, expandedToMonthBy, United States Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedToMonthBy Context triple: [National Women’s History Month, expandedToMonthBy, United States Congress]
-
A.
definesMonthBy
Indicates that one entity specifies or determines the month associated with another entity.
-
B.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
followsMonthInLeapYears
Indicates that one month directly succeeds another specifically in the context of leap years.
-
D.
hasMonthCount
Indicates a relationship where an entity is associated with a specific number of months.
-
E.
proposedInMonth
Indicates that an entity (such as a proposal or plan) was formally proposed during a specific calendar month.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 28, 2026, 5:03 a.m.