Triple
T29118479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defence Legislation Amendment Acts |
E737110
|
entity |
| Predicate | typicalAmendmentTarget |
P128135
|
FINISHED |
| Object |
Military Rehabilitation and Compensation Act 2004 (Cth)
The Military Rehabilitation and Compensation Act 2004 (Cth) is an Australian federal law that establishes the scheme for rehabilitation, compensation, and other support for members and former members of the Australian Defence Force and their dependants in relation to service-related injuries, diseases, and deaths.
|
E1851791
|
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: Military Rehabilitation and Compensation Act 2004 (Cth) | Statement: [Defence Legislation Amendment Acts, typicalAmendmentTarget, Military Rehabilitation and Compensation Act 2004 (Cth)]
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: Military Rehabilitation and Compensation Act 2004 (Cth) Triple: [Defence Legislation Amendment Acts, typicalAmendmentTarget, Military Rehabilitation and Compensation Act 2004 (Cth)]
Generated description
The Military Rehabilitation and Compensation Act 2004 (Cth) is an Australian federal law that establishes the scheme for rehabilitation, compensation, and other support for members and former members of the Australian Defence Force and their dependants in relation to service-related injuries, diseases, and deaths.
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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a017df094448190b71883d6ce98c514 |
completed | May 11, 2026, 6:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2537ca9fd4819082b8559c2b00d38d |
completed | June 7, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_6a253bf87598819087116abf2274d649 |
completed | June 7, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25470a98f48190b7afa02e39675cc3 |
completed | June 7, 2026, 10:25 a.m. |
Created at: April 28, 2026, 11:24 a.m.