Triple
T3637098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student Learning Centre |
E77097
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SLC
SLC is an abbreviation commonly used for the Student Learning Centre, a dedicated space or service that supports students’ academic success and skill development.
|
E376077
|
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: SLC | Statement: [Student Learning Centre, shortName, SLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLC Context triple: [Student Learning Centre, shortName, SLC]
-
A.
SLC
SLC is the three-letter IATA airport code for Salt Lake City International Airport, a major air travel hub serving Salt Lake City, Utah.
-
B.
SLC
SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
-
C.
SLD
SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SLCDA
SLCDA is the municipal agency responsible for operating and managing Salt Lake City’s airport system, including Salt Lake City International Airport.
- 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: SLC Triple: [Student Learning Centre, shortName, SLC]
Generated description
SLC is an abbreviation commonly used for the Student Learning Centre, a dedicated space or service that supports students’ academic success and skill development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLC Target entity description: SLC is an abbreviation commonly used for the Student Learning Centre, a dedicated space or service that supports students’ academic success and skill development.
-
A.
SLC
SLC is the three-letter IATA airport code for Salt Lake City International Airport, a major air travel hub serving Salt Lake City, Utah.
-
B.
SLC
SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
-
C.
SLD
SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SLCDA
SLCDA is the municipal agency responsible for operating and managing Salt Lake City’s airport system, including Salt Lake City International Airport.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f23298481909d313d6b3f8013cd |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b450785378819090b4ed7536db7757 |
completed | March 13, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45a0afef8819097c6e87127b4d1db |
completed | March 13, 2026, 6:40 p.m. |
Created at: March 8, 2026, 3:24 p.m.