Triple
T25253935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Union passport |
E633116
|
entity |
| Predicate | announcedAtEvent |
P430
|
FINISHED |
| Object |
27th African Union Summit
The 27th African Union Summit was a high-level gathering of African heads of state and government in 2016 focused on continental integration, peace, and development, during which key initiatives such as the African Union passport were advanced.
|
E397375
|
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: 27th African Union Summit | Statement: [African Union passport, announcedAtEvent, 27th African Union Summit]
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: 27th African Union Summit Triple: [African Union passport, announcedAtEvent, 27th African Union Summit]
Generated description
The 27th African Union Summit was a high-level gathering of African heads of state and government in 2016 focused on continental integration, peace, and development, during which key initiatives such as the African Union passport were advanced.
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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4808e7b288190ad7444ccbef04d80 |
completed | May 1, 2026, 10:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1067efaf9c81908f825ad8d6426cd5 |
completed | May 22, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_6a1068ad981081908f324aa1d7cc5bb2 |
completed | May 22, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a106a12f4e08190a51c4cecf7a5de2a |
completed | May 22, 2026, 2:37 p.m. |
Created at: April 21, 2026, 1:12 p.m.