Triple
T13729495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Army Pay Corps |
E329757
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RAPC |
E329757
|
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: RAPC | Statement: [Royal Army Pay Corps, abbreviation, RAPC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAPC Context triple: [Royal Army Pay Corps, abbreviation, RAPC]
-
A.
RAPC
chosen
RAPC is the abbreviation for the Royal Army Pay Corps, a former British Army administrative corps responsible for managing soldiers’ pay and financial services.
-
B.
RAC
RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
-
C.
RAC
RAC is the abbreviation for Spain’s Royal Academy of Exact, Physical and Natural Sciences, a leading national institution dedicated to advancing scientific research and knowledge.
-
D.
RAC
RAC is Oracle's clustering technology that allows multiple servers to run a single database instance for high availability and scalability.
-
E.
RCP
RCP is the commonly used abbreviation for the Royal College of Physicians, a professional body dedicated to improving the practice of medicine and healthcare standards.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.