Triple
T19164314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado House of Representatives |
E469136
|
entity |
| Predicate | sessionStartTypical |
P32533
|
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: [Colorado House of Representatives, sessionStartTypical, January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionStartTypical Context triple: [Colorado House of Representatives, sessionStartTypical, January]
-
A.
typicalStartPeriod
chosen
Indicates the usual or standard time period during which something begins or is initiated.
-
B.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
C.
sessionOpenedBy
Indicates that a particular session was initiated or started by a specific entity.
-
D.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
-
E.
typicalSchedule
Indicates the usual or standard timing and sequence of activities or events associated with an entity.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15e2720819084b1707497db26a2 |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.