Triple
T2217978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Saint Martins |
E48075
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
|
E243998
|
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: CSM | Statement: [Central Saint Martins, shortName, CSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSM Context triple: [Central Saint Martins, shortName, CSM]
-
A.
CSC
CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
-
B.
CSC
CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
-
C.
CMCSA
CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
-
D.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
E.
CSME
CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
- 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: CSM Triple: [Central Saint Martins, shortName, CSM]
Generated description
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSM Target entity description: CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
-
A.
CSC
CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
-
B.
CSC
CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
-
C.
CMCSA
CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
-
D.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
E.
CSME
CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc010bd4c8190ace293b37eac1de5 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655b369c8190a5d12b87401534d7 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d419048190ad723d21ab7f1cab |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae666e71908190b50be2cac5bdfa28 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.