Triple
T29451065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African-led International Support Mission in the Central African Republic |
E746974
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Mission for the Consolidation of Peace in the Central African Republic
The Mission for the Consolidation of Peace in the Central African Republic was a regional peacekeeping operation mandated to stabilize the country, support political reconciliation, and help restore state authority following internal conflict.
|
E746974
|
NE 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: Mission for the Consolidation of Peace in the Central African Republic | Statement: [African-led International Support Mission in the Central African Republic, precededBy, Mission for the Consolidation of Peace in the Central African Republic]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mission for the Consolidation of Peace in the Central African Republic Triple: [African-led International Support Mission in the Central African Republic, precededBy, Mission for the Consolidation of Peace in the Central African Republic]
Generated description
The Mission for the Consolidation of Peace in the Central African Republic was a regional peacekeeping operation mandated to stabilize the country, support political reconciliation, and help restore state authority following internal conflict.
Provenance (5 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b6724088190ba3aafd1dfe36617 |
completed | May 2, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25d93faefc8190bec7c94794921f95 |
completed | June 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_6a25dd6da0f4819097a6c39da69d5e6e |
completed | June 7, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25e1a372c8819098b3fe3c7152633b |
completed | June 7, 2026, 9:24 p.m. |
Created at: April 28, 2026, 3:32 p.m.