Triple
T35873376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New South Wales education system |
E1037287
|
entity |
| Predicate | usesReportingFramework |
P185364
|
FINISHED |
| Object |
National Assessment Program – Literacy and Numeracy
The National Assessment Program – Literacy and Numeracy (NAPLAN) is a standardized Australian testing program that measures primary and secondary students’ skills in reading, writing, language conventions, and numeracy.
|
E2160035
|
NE FINISHED |
How this triple was built (3 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: National Assessment Program – Literacy and Numeracy | Statement: [New South Wales education system, usesReportingFramework, National Assessment Program – Literacy and Numeracy]
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: National Assessment Program – Literacy and Numeracy Triple: [New South Wales education system, usesReportingFramework, National Assessment Program – Literacy and Numeracy]
Generated description
The National Assessment Program – Literacy and Numeracy (NAPLAN) is a standardized Australian testing program that measures primary and secondary students’ skills in reading, writing, language conventions, and numeracy.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesReportingFramework Context triple: [New South Wales education system, usesReportingFramework, National Assessment Program – Literacy and Numeracy]
-
A.
supportsComplianceReporting
Indicates that an entity provides functionality or features that enable or facilitate compliance-related reporting activities.
-
B.
requiresReportTo
Indicates that one entity is obligated to submit or provide a report to another entity.
-
C.
usedReportingMarks
Indicates that an entity employed specific railroad reporting marks to identify rolling stock or operations.
-
D.
reportsUsedFor
Indicates that certain reports are utilized as tools or sources in performing or supporting a particular activity, decision, or process.
-
E.
canReport
Indicates that one entity has the ability or permission to report on, or submit a report about, another entity or situation.
- F. None of above. chosen
Provenance (7 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4f0f29c819096590eafd38627f7 |
completed | June 22, 2026, 2:58 a.m. |
| NEDg | Description generation | batch_6a38a57d5e2c81908a749015ac6fcd7f |
completed | June 22, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38a604b0488190a52a2319556ac218 |
completed | June 22, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: May 3, 2026, 4:06 p.m.