Triple
T2571029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day of Independence |
E57665
|
entity |
| Predicate | occursOnOrAround |
P39845
|
FINISHED |
| Object | April–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: April–May | Statement: [Day of Independence, occursOnOrAround, April–May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursOnOrAround Context triple: [Day of Independence, occursOnOrAround, April–May]
-
A.
occursNear
Indicates that one event or entity takes place or exists in close spatial proximity to another.
-
B.
occursAt
Indicates that an event or action takes place at a specific time or location.
-
C.
occursWhen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
D.
occurredIn
Indicates that an event or action took place within a specific location, context, or time frame.
-
E.
occurredDuring
Indicates that one event or action took place within the temporal span of another event or time period.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd383dce881909411a38c6d37bc3a |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd251b48c8190862c7b39ea1bf8ea |
completed | March 7, 2026, 7:22 a.m. |
Created at: March 6, 2026, 9:48 p.m.