Triple
T27121273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rek Dinka |
E687001
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object |
Rek Dinka subgroup
The Rek Dinka subgroup is a major clan-based division of the Dinka people of South Sudan, distinguished by its own lineage, dialectal features, and territorial homeland within the broader Dinka ethnic community.
|
E1756216
|
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: Rek Dinka subgroup | Statement: [Rek Dinka, ethnicGroup, Rek Dinka subgroup]
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: Rek Dinka subgroup Triple: [Rek Dinka, ethnicGroup, Rek Dinka subgroup]
Generated description
The Rek Dinka subgroup is a major clan-based division of the Dinka people of South Sudan, distinguished by its own lineage, dialectal features, and territorial homeland within the broader Dinka ethnic community.
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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f624443ba081909232cb5a4b4f9dc2 |
completed | May 2, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a124817726c8190bea17e2dccc2bd7c |
completed | May 24, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_6a12488822208190aab1355ac3efd2a6 |
completed | May 24, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a124935c01c8190b9d6d13c4f50a104 |
completed | May 24, 2026, 12:41 a.m. |
Created at: April 27, 2026, 8:59 a.m.