Triple
T26016416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Women's Day |
E647033
|
entity |
| Predicate | firstProposedInYear |
P25813
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [International Women's Day, firstProposedInYear, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProposedInYear Context triple: [International Women's Day, firstProposedInYear, 1910]
-
A.
proposedInYear
chosen
Indicates that something, such as a plan, idea, or piece of legislation, was formally put forward or suggested in a specific calendar year.
-
B.
firstProposedAt
Indicates the time or context at which something was initially proposed or put forward for consideration.
-
C.
originallyProposedFor
Indicates that something was first suggested, designed, or intended to be used for a particular purpose, context, or target.
-
D.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
-
E.
firstPublicUseYear
Indicates the calendar year in which something was first made available for use by the public.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 22, 2026, 9:03 a.m.