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.