Triple

T9849697
Position Surface form Disambiguated ID Type / Status
Subject The Royal Green Jackets E239432 entity
Predicate nickname P55 FINISHED
Object RGJ
RGJ is the commonly used abbreviation for The Royal Green Jackets, a former elite light infantry regiment of the British Army.
E824917 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: RGJ | Statement: [The Royal Green Jackets, nickname, RGJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RGJ
Context triple: [The Royal Green Jackets, nickname, RGJ]
  • A. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • B. RG
    RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
  • C. RG
    RG is the former IATA airline designator for Varig, the now-defunct Brazilian flag carrier that was once the country’s largest airline.
  • D. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • E. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • 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: RGJ
Triple: [The Royal Green Jackets, nickname, RGJ]
Generated description
RGJ is the commonly used abbreviation for The Royal Green Jackets, a former elite light infantry regiment of the British Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RGJ
Target entity description: RGJ is the commonly used abbreviation for The Royal Green Jackets, a former elite light infantry regiment of the British Army.
  • A. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • B. RG
    RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
  • C. RG
    RG is the former IATA airline designator for Varig, the now-defunct Brazilian flag carrier that was once the country’s largest airline.
  • D. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • E. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb372efc88190a801b2d7384445d7 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ea5eac8190af7fad00a6398c5e completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.