Triple
T4917146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Security Council Resolution 186 |
E110376
|
entity |
| Predicate | peacekeepingMissionCreated |
P13841
|
FINISHED |
| Object | United Nations Peacekeeping Force in Cyprus |
E19951
|
NE FINISHED |
How this triple was built (3 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: United Nations Peacekeeping Force in Cyprus | Statement: [United Nations Security Council Resolution 186, peacekeepingMissionCreated, United Nations Peacekeeping Force in Cyprus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations Peacekeeping Force in Cyprus Context triple: [United Nations Security Council Resolution 186, peacekeepingMissionCreated, United Nations Peacekeeping Force in Cyprus]
-
A.
United Nations Peacekeeping Force in Cyprus
chosen
The United Nations Peacekeeping Force in Cyprus is a long-standing UN mission established in 1964 to prevent further fighting between Greek Cypriot and Turkish Cypriot communities and to maintain stability along the island’s buffer zone.
-
B.
United Nations Interim Force in Lebanon
The United Nations Interim Force in Lebanon is a long-standing UN peacekeeping mission deployed in southern Lebanon to monitor ceasefires, support the Lebanese government’s authority, and help maintain stability along the border with Israel.
-
C.
Turkish military intervention in Cyprus
The Turkish military intervention in Cyprus was a 1974 operation by Turkey that resulted in the partition of the island and the subsequent establishment of a Turkish-controlled northern region.
-
D.
Multinational Force in Lebanon
The Multinational Force in Lebanon was an international peacekeeping coalition, primarily composed of U.S., French, Italian, and later British troops, deployed to stabilize Lebanon and support its government during the early 1980s phase of the Lebanese Civil War.
-
E.
United Nations Operation in the Congo
The United Nations Operation in the Congo was a major early UN peacekeeping mission in the 1960s aimed at stabilizing the newly independent Congo amid political turmoil and secessionist conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peacekeepingMissionCreated Context triple: [United Nations Security Council Resolution 186, peacekeepingMissionCreated, United Nations Peacekeeping Force in Cyprus]
-
A.
peacekeepingModel
Indicates a model or framework designed to guide, structure, or simulate peacekeeping actions and relationships between involved parties.
-
B.
hasPeacekeepingRole
Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
-
C.
UNMission
chosen
Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
-
D.
hasPeacekeepingForcesFrom
Indicates that an entity hosts or is supported by peacekeeping forces that originate from another specified entity.
-
E.
maintainedPeaceWith
Indicates that two entities sustained a state of peace or non-conflict with each other over a period of time.
- F. None of above.
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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92394f048190b6c0c87eea844f56 |
completed | March 21, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.