Triple
T7755838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Associates |
E175892
|
entity |
| Predicate | periodOfActivityPeak |
P70162
|
FINISHED |
| Object | 1820s |
—
|
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: 1820s | Statement: [Boston Associates, periodOfActivityPeak, 1820s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfActivityPeak Context triple: [Boston Associates, periodOfActivityPeak, 1820s]
-
A.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
operationalPeak
Indicates the highest level or period of performance, capacity, or activity that a system, process, or entity reaches during its operation.
-
D.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
E.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.