Triple
T8263205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rad Lab |
E193240
|
entity |
| Predicate | peakStaffSize |
P3346
|
FINISHED |
| Object | about 4000 people |
—
|
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: about 4000 people | Statement: [Rad Lab, peakStaffSize, about 4000 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakStaffSize Context triple: [Rad Lab, peakStaffSize, about 4000 people]
-
A.
staffSize
Indicates the number of staff members associated with an entity.
-
B.
peakPersonnel
chosen
Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
-
C.
staffingLevel
Indicates the degree or adequacy of personnel assigned to perform a particular function, task, or operation.
-
D.
personnelStrength
Indicates the number or capacity of people assigned to or available for a particular unit, organization, or operation.
-
E.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793991b481908ad7221405e88ab7 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb36b8707881909aca349230495a5a |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:49 p.m.