Triple

T17258727
Position Surface form Disambiguated ID Type / Status
Subject 7th Battalion, Royal Australian Regiment E418951 entity
Predicate nickname P55 FINISHED
Object 7 RAR E406829 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: 7 RAR | Statement: [7th Battalion, Royal Australian Regiment, nickname, 7 RAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 7 RAR
Context triple: [7th Battalion, Royal Australian Regiment, nickname, 7 RAR]
  • A. RAR chosen
    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.
  • B. RAR
    RAR is the IATA airport code for Rarotonga International Airport, the main air gateway to the Cook Islands in the South Pacific.
  • C. 7R
    7R is the IATA airline designator assigned to RusLine, a regional airline based in Russia.
  • D. Support Company, 5 RAR
    Support Company, 5 RAR is a specialist sub-unit of the 5th Battalion, Royal Australian Regiment that provides combat support capabilities such as heavy weapons, reconnaissance, and other enabling functions to the battalion’s infantry companies.
  • E. 7zip
    7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.