Triple
T21268195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Meteorological Society |
E524184
|
entity |
| Predicate | hasPostnominal |
P1610
|
FINISHED |
| Object |
CMet
CMet is a professional postnominal designation awarded by the Royal Meteorological Society to recognize certified expertise and competence in meteorology.
|
E1475439
|
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: CMet | Statement: [Royal Meteorological Society, hasPostnominal, CMet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMet Context triple: [Royal Meteorological Society, hasPostnominal, CMet]
-
A.
CM
CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
-
B.
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.
-
C.
CM
CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
-
D.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
E.
CM
CM is the postcode area in the United Kingdom that covers Chelmsford and surrounding parts of Essex.
- 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: CMet Triple: [Royal Meteorological Society, hasPostnominal, CMet]
Generated description
CMet is a professional postnominal designation awarded by the Royal Meteorological Society to recognize certified expertise and competence in meteorology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMet Target entity description: CMet is a professional postnominal designation awarded by the Royal Meteorological Society to recognize certified expertise and competence in meteorology.
-
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.
CM
CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
-
C.
CM
CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
-
D.
CM
CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
-
E.
CM
CM is the postcode area in the United Kingdom that covers Chelmsford and surrounding parts of Essex.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ee38cc81909b4e7c5996bb64f9 |
completed | April 21, 2026, 8:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09900313748190a2ecc88cfd2b9c78 |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0993b803b8819099eb7082303677d7 |
completed | May 17, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0994235124819098fcf0b30bb0f757 |
completed | May 17, 2026, 10:10 a.m. |
Created at: April 16, 2026, 4 p.m.