Triple
T27426554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibale National Park |
E690500
|
entity |
| Predicate | hasResearchStation |
P2881
|
FINISHED |
| Object |
Ngogo research site
The Ngogo research site is a renowned long-term primate research station in Uganda’s Kibale National Park, best known for its intensive studies of one of the world’s largest chimpanzee communities.
|
E1772065
|
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: Ngogo research site | Statement: [Kibale National Park, hasResearchStation, Ngogo research site]
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: Ngogo research site Triple: [Kibale National Park, hasResearchStation, Ngogo research site]
Generated description
The Ngogo research site is a renowned long-term primate research station in Uganda’s Kibale National Park, best known for its intensive studies of one of the world’s largest chimpanzee communities.
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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d546b2881909d0acb99ce291de1 |
completed | May 2, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12b24bfa1881908f6475561c24ec8b |
completed | May 24, 2026, 8:09 a.m. |
| NEDg | Description generation | batch_6a12b2e7e7a08190a7066b6fb6c07568 |
completed | May 24, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12b3573a6c819093c3df4feaa23f0a |
completed | May 24, 2026, 8:14 a.m. |
Created at: April 27, 2026, 12:41 p.m.