Triple
T16044107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Mission in Ethiopia and Eritrea |
E389171
|
entity |
| Predicate | maximumAuthorizedMilitaryObservers |
P121733
|
FINISHED |
| Object | 220 |
—
|
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: 220 | Statement: [United Nations Mission in Ethiopia and Eritrea, maximumAuthorizedMilitaryObservers, 220]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumAuthorizedMilitaryObservers Context triple: [United Nations Mission in Ethiopia and Eritrea, maximumAuthorizedMilitaryObservers, 220]
-
A.
maximumAuthorizedPolicePersonnel
Indicates the highest number of police personnel that are officially permitted or authorized for a given jurisdiction, unit, or context.
-
B.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
C.
internationalObservers
Indicates that the entities serve as neutral third parties monitoring or overseeing an event, process, or situation across national boundaries.
-
D.
restrictedArmySizeOf
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
-
E.
internationalObservation
Indicates that an entity monitors, assesses, or records events or conditions across national borders, often as part of a global or multinational oversight or data-gathering effort.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.