Triple
T24196600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Transitional Authority in Cambodia |
E599850
|
entity |
| Predicate | peakCivilianStaff |
P3346
|
FINISHED |
| Object | approximately 1,700 |
—
|
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: approximately 1,700 | Statement: [United Nations Transitional Authority in Cambodia, peakCivilianStaff, approximately 1,700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakCivilianStaff Context triple: [United Nations Transitional Authority in Cambodia, peakCivilianStaff, approximately 1,700]
-
A.
peakPersonnel
chosen
Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
-
B.
civilianHead
Indicates that one entity serves as the top civilian leader or chief official in charge of another entity (such as an organization, institution, or jurisdiction).
-
C.
hasGeneralStaff
Indicates that an entity has, is associated with, or is served by a general staff body responsible for overall strategic or administrative functions.
-
D.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
E.
isMilitaryStaffOf
Indicates that one entity serves as military personnel working for, or assigned to, another entity (such as an organization, unit, or individual).
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24ad83c819084ac9e34d2cc2120 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.