Triple
T13597555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Counsel investigation into Russian interference in the 2016 United States elections |
E324859
|
entity |
| Predicate | timeSpanMonthsApproximate |
P9860
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Special Counsel investigation into Russian interference in the 2016 United States elections, timeSpanMonthsApproximate, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanMonthsApproximate Context triple: [Special Counsel investigation into Russian interference in the 2016 United States elections, timeSpanMonthsApproximate, 22]
-
A.
operatingMonthsApproximate
Indicates that the time period during which something operates is specified in approximate months rather than exact dates.
-
B.
hasMonthCount
chosen
Indicates a relationship where an entity is associated with a specific number of months.
-
C.
approximateTimeInYear
Indicates that one time-related entity represents an estimated or non-exact point or interval within a given year for another entity.
-
D.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
E.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.