Triple
T1146646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland House of Delegates |
E23580
|
entity |
| Predicate | sessionStartMonth |
P6433
|
FINISHED |
| Object | January |
—
|
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: January | Statement: [Maryland House of Delegates, sessionStartMonth, January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionStartMonth Context triple: [Maryland House of Delegates, sessionStartMonth, January]
-
A.
commandedAsFirstMonthIn
Indicates that an entity is designated or ordered to serve as the first month within a specified temporal system or context.
-
B.
hasMonth
chosen
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
typicalStandardTimeStartMonth
Indicates the month in which a region’s standard (non-daylight-saving) time typically begins each year.
-
D.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
E.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.