Triple
T4022638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Australian Regiment |
E91313
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RAR
RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
|
E406829
|
NE FINISHED |
How this triple was built (4 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: RAR | Statement: [Royal Australian Regiment, abbreviation, RAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAR Context triple: [Royal Australian Regiment, abbreviation, RAR]
-
A.
RA
RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
-
B.
RA
RA is the commonly used abbreviation for Rugby Australia, the governing body for rugby union in Australia.
-
C.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
D.
ARC
ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
-
E.
ARC
ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: RAR Triple: [Royal Australian Regiment, abbreviation, RAR]
Generated description
RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RAR Target entity description: RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
-
A.
RA
RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
-
B.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
C.
RA
RA is the commonly used abbreviation for Rugby Australia, the governing body for rugby union in Australia.
-
D.
ARC
ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
-
E.
ARC
ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
- F. None of above. chosen
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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaccb2f48190a16a1ba6e938da85 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c82a33881908eb1b53331b10791 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d41fa008190972411203c8a07f2 |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54deeeac881909cc951927e51111f |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:35 p.m.