Triple
T19943250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National POW MIA Recognition Day |
E479358
|
entity |
| Predicate | typicalMonthOfObservation |
P11688
|
FINISHED |
| Object | September |
—
|
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: September | Statement: [National POW MIA Recognition Day, typicalMonthOfObservation, September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMonthOfObservation Context triple: [National POW MIA Recognition Day, typicalMonthOfObservation, September]
-
A.
typicalMonthOfOccurrence
chosen
Indicates the month in which something most commonly or typically occurs.
-
B.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
C.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
-
D.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
E.
wettestMonths
Indicates the months during which a location experiences the highest amount of precipitation compared to other months.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a63f2e48190ba1cb7a4f415e7f6 |
completed | April 20, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.