Triple
T1128855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon |
E24780
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object |
CMR
CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
|
E129897
|
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: CMR | Statement: [Cameroon, fifaCode, CMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMR Context triple: [Cameroon, fifaCode, CMR]
-
A.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
B.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
-
C.
MRU
MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
-
D.
CAMTR
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
-
E.
CMC
CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
- 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: CMR Triple: [Cameroon, fifaCode, CMR]
Generated description
CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMR Target entity description: CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
-
A.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
B.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
-
C.
MRU
MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
-
D.
CAMTR
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
-
E.
CMC
CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdea9b88190a88da718bf5c1897 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a82bb8819084f77aff9af653c0 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a97f1408190855d8ea4f4317b07 |
completed | March 7, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5b1b5930819098f511db269e991d |
completed | March 7, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:44 p.m.