Triple
T24196599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Transitional Authority in Cambodia |
E599850
|
entity |
| Predicate | peakCivilianPolice |
P155141
|
FINISHED |
| Object | approximately 3,600 |
—
|
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 3,600 | Statement: [United Nations Transitional Authority in Cambodia, peakCivilianPolice, approximately 3,600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakCivilianPolice Context triple: [United Nations Transitional Authority in Cambodia, peakCivilianPolice, approximately 3,600]
-
A.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
B.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
C.
policeControl
Indicates that one entity exercises authoritative oversight, regulation, or enforcement power over another, as a police force does over people or areas under its jurisdiction.
-
D.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
E.
civilianPresence
Indicates the presence or involvement of non-combatant individuals in a given location, situation, or event.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.