Triple
T964880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal African Company |
E20815
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
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.
|
E113565
|
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: RAC | Statement: [Royal African Company, alsoKnownAs, RAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAC Context triple: [Royal African Company, alsoKnownAs, RAC]
-
A.
The RAC
The RAC is the longtime nickname for Rutgers University’s on-campus basketball arena in Piscataway, New Jersey.
-
B.
RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
E.
RAE
RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
- 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: RAC Triple: [Royal African Company, alsoKnownAs, RAC]
Generated description
RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RAC Target entity description: RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
-
A.
The RAC
The RAC is the longtime nickname for Rutgers University’s on-campus basketball arena in Piscataway, New Jersey.
-
B.
RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
E.
RAE
RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a82bfc81908a30b19d4ecc25f1 |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac12e7384881908211de8a4092b3c0 |
completed | March 7, 2026, 11:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac135f4b9c8190b45955bc9ef65608 |
completed | March 7, 2026, noon |
Created at: March 1, 2026, 7:40 p.m.