Triple
T334708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Logistic Corps |
E6699
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
|
E42610
|
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: RLC | Statement: [Royal Logistic Corps, abbreviation, RLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RLC Context triple: [Royal Logistic Corps, abbreviation, RLC]
-
A.
LC series
The LC series is a line of low-cost, education-focused Macintosh desktop computers produced by Apple in the early 1990s.
-
B.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
C.
RCA Inspiration
RCA Inspiration is a music label imprint specializing in gospel and Christian music, operating under the larger RCA Records umbrella.
-
D.
RCA
RCA (Radio Corporation of America) was a major American electronics and communications company that played a pivotal role in the development and commercialization of radio and television technology in the 20th century.
-
E.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
- 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: RLC Triple: [Royal Logistic Corps, abbreviation, RLC]
Generated description
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RLC Target entity description: RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
A.
LC series
The LC series is a line of low-cost, education-focused Macintosh desktop computers produced by Apple in the early 1990s.
-
B.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
C.
RCA Inspiration
RCA Inspiration is a music label imprint specializing in gospel and Christian music, operating under the larger RCA Records umbrella.
-
D.
RCA
RCA (Radio Corporation of America) was a major American electronics and communications company that played a pivotal role in the development and commercialization of radio and television technology in the 20th century.
-
E.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac641708190b85fa21368e5de8e |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d247650481909006cc27bfa385e3 |
completed | March 1, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_69a3d2d8aa64819095cdee306bec77ec |
completed | March 1, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d370d200819089eaf114357a8ca3 |
completed | March 1, 2026, 5:49 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.