Triple
T649976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Korea Marine Corps |
E11323
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ROKMC
ROKMC is the elite amphibious warfare branch of South Korea’s armed forces, known for rapid deployment and high-intensity combat capabilities.
|
E81250
|
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: ROKMC | Statement: [Republic of Korea Marine Corps, abbreviation, ROKMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROKMC Context triple: [Republic of Korea Marine Corps, abbreviation, ROKMC]
-
A.
ROK
ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
-
B.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
C.
Rokin
Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
-
D.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
-
E.
Rosh
Rosh (Rabbeinu Asher ben Jehiel) was a prominent 13th–14th century Talmudic authority and halachic codifier whose rulings significantly shaped later Jewish law, including the Shulchan Aruch.
- 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: ROKMC Triple: [Republic of Korea Marine Corps, abbreviation, ROKMC]
Generated description
ROKMC is the elite amphibious warfare branch of South Korea’s armed forces, known for rapid deployment and high-intensity combat capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROKMC Target entity description: ROKMC is the elite amphibious warfare branch of South Korea’s armed forces, known for rapid deployment and high-intensity combat capabilities.
-
A.
ROK
ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
-
B.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
C.
Rokin
Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
-
D.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
-
E.
Rosh
Rosh (Rabbeinu Asher ben Jehiel) was a prominent 13th–14th century Talmudic authority and halachic codifier whose rulings significantly shaped later Jewish law, including the Shulchan Aruch.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f31e70c81909a2ac1d939f7ec07 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a58039191481908b11bfadb36f0c13 |
completed | March 2, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_69a5826e8b4081908523f552045e4e91 |
completed | March 2, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a583113320819080feea6882d3bff5 |
completed | March 2, 2026, 12:31 p.m. |
Created at: March 1, 2026, 7:36 p.m.