Triple
T85548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civilian Conservation Corps |
E1721
|
entity |
| Predicate | peakEnrollment |
P3346
|
FINISHED |
| Object | around 500,000 enrollees at one time |
—
|
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: around 500,000 enrollees at one time | Statement: [Civilian Conservation Corps, peakEnrollment, around 500,000 enrollees at one time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakEnrollment Context triple: [Civilian Conservation Corps, peakEnrollment, around 500,000 enrollees at one time]
-
A.
undergraduateEnrollment
Indicates the number of undergraduate students enrolled in an institution or program.
-
B.
peakPersonnel
chosen
Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
-
C.
parentPeak
Indicates that one peak is the higher or primary peak to which another, subordinate peak is topographically related.
-
D.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
E.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.