Triple
T30918709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations peacekeeping missions in Chad and CAR |
E787658
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
United Nations Regional Office for Central Africa
The United Nations Regional Office for Central Africa is a UN political mission that works to promote peace, security, and conflict prevention across Central African countries through diplomacy, early warning, and regional cooperation.
|
E1938410
|
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: United Nations Regional Office for Central Africa | Statement: [United Nations peacekeeping missions in Chad and CAR, hasComponent, United Nations Regional Office for Central Africa]
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: United Nations Regional Office for Central Africa Triple: [United Nations peacekeeping missions in Chad and CAR, hasComponent, United Nations Regional Office for Central Africa]
Generated description
The United Nations Regional Office for Central Africa is a UN political mission that works to promote peace, security, and conflict prevention across Central African countries through diplomacy, early warning, and regional cooperation.
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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b3c17881908e10d82b78be94a8 |
completed | May 3, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28e467d0448190ade59fb9b002d5b5 |
completed | June 10, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_6a28e6df61d0819097dad3b8fe0605dc |
completed | June 10, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28e77c979c8190ad64292260d34595 |
completed | June 10, 2026, 4:26 a.m. |
Created at: April 29, 2026, 8:51 p.m.