Triple
T8049473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Canadian Electrical and Mechanical Engineers |
E187637
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RCEME
RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
|
E706524
|
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: RCEME | Statement: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCEME Context triple: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
-
A.
MCECS
MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
-
B.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
C.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
D.
CICTE
CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
-
E.
CEMA
CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
- 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: RCEME Triple: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
Generated description
RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCEME Target entity description: RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
-
A.
MCECS
MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
-
B.
CEC
CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
-
C.
CEC
CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
-
D.
CICTE
CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
-
E.
CEMA
CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7826288190b2f292a7d34fcd80 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5716934481908ec60cc9fd825ad7 |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58acba3c8190b7d09aa23b5f10f8 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5ccee5648190a8ebdf8029eded98 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:24 p.m.