Triple
T5041965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal African Company |
E113565
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RAC |
E113565
|
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: RAC | Statement: [Royal African Company, abbreviation, RAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAC Context triple: [Royal African Company, abbreviation, RAC]
-
A.
RAC
chosen
RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
-
B.
RAC
RAC is Oracle's clustering technology that allows multiple servers to run a single database instance for high availability and scalability.
-
C.
The RAC
The RAC is the longtime nickname for Rutgers University’s on-campus basketball arena in Piscataway, New Jersey.
-
D.
RAS
RAS is the commonly used abbreviation for the Royal Astronomical Society, a leading learned society dedicated to the advancement of astronomy and geophysics.
-
E.
RACE
RACE is the stock ticker symbol for Ferrari N.V., the renowned Italian luxury sports car manufacturer listed on major stock exchanges.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73de73008190b89aec9a76b43e4f |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8414288190bf53a40033aa70ea |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.