Triple
T6876409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Haiti earthquake |
E158680
|
entity |
| Predicate | peacekeepingMissionImpact |
P73880
|
FINISHED |
| Object | heavy casualties among UN personnel |
—
|
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: heavy casualties among UN personnel | Statement: [2010 Haiti earthquake, peacekeepingMissionImpact, heavy casualties among UN personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peacekeepingMissionImpact Context triple: [2010 Haiti earthquake, peacekeepingMissionImpact, heavy casualties among UN personnel]
-
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.
hasPeacekeepingForcesFrom
Indicates that an entity hosts or is supported by peacekeeping forces that originate from another specified entity.
-
D.
UNMission
Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
-
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. 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8cb76108190a5136240ed85d900 |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.