Triple
T11910752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House of Representatives districts in Virginia |
E283385
|
entity |
| Predicate | startDateOfCurrentNumber |
P288
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [United States House of Representatives districts in Virginia, startDateOfCurrentNumber, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startDateOfCurrentNumber Context triple: [United States House of Representatives districts in Virginia, startDateOfCurrentNumber, 1993]
-
A.
startDateOfCurrentTermLength
Indicates the calendar date on which the currently active term or period of a defined duration begins.
-
B.
hasFirstDayNumber
Indicates that an entity is associated with a specific numerical value representing the first day in a sequence, period, or schedule.
-
C.
startDate
chosen
Indicates the point in time when an event, state, or relationship begins.
-
D.
calculationStartDate
Indicates the date on which a particular calculation or computation process begins.
-
E.
startTimeAsCardinal
Indicates the specific clock time at which an event or action begins, expressed as a cardinal (numeric) value rather than a textual or formatted time.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.