Triple
T31796371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Cross University |
E811606
|
entity |
| Predicate | hasResearchCentre |
P11730
|
FINISHED |
| Object |
Centre for Coastal Biogeochemistry Research
The Centre for Coastal Biogeochemistry Research is a research institute focused on understanding biogeochemical processes in coastal and marine environments, including nutrient cycling, water quality, and ecosystem health.
|
E1978402
|
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: Centre for Coastal Biogeochemistry Research | Statement: [Southern Cross University, hasResearchCentre, Centre for Coastal Biogeochemistry Research]
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: Centre for Coastal Biogeochemistry Research Triple: [Southern Cross University, hasResearchCentre, Centre for Coastal Biogeochemistry Research]
Generated description
The Centre for Coastal Biogeochemistry Research is a research institute focused on understanding biogeochemical processes in coastal and marine environments, including nutrient cycling, water quality, and ecosystem health.
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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1d488c8190afbf41c0589d2efe |
completed | May 3, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d62ab988190950794ef91417fd5 |
completed | June 13, 2026, 6:11 p.m. |
| NEDg | Description generation | batch_6a2d9e5cacf881909256095fa02d95a9 |
completed | June 13, 2026, 6:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2da22dea008190881a4e08691f9645 |
completed | June 13, 2026, 6:32 p.m. |
Created at: April 30, 2026, 11:40 p.m.