Triple
T6528055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Lawrence Saints men's ice hockey |
E151355
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
SLU Saints
SLU Saints is the men's ice hockey team representing St. Lawrence University in NCAA Division I competition.
|
E605574
|
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: SLU Saints | Statement: [St. Lawrence Saints men's ice hockey, nickname, SLU Saints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLU Saints Context triple: [St. Lawrence Saints men's ice hockey, nickname, SLU Saints]
-
A.
Saint Louis Billikens
The Saint Louis Billikens are the intercollegiate athletic teams that represent Saint Louis University in NCAA Division I competition.
-
B.
Southeast Missouri State Redhawks
The Southeast Missouri State Redhawks are the NCAA Division I athletic teams representing Southeast Missouri State University, competing primarily in the Ohio Valley Conference.
-
C.
Missouri Tigers
The Missouri Tigers are the athletic teams representing the University of Missouri, best known for their NCAA Division I sports programs and historic rivalries, particularly in football and basketball.
-
D.
SLU
SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
-
E.
SLU
SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
- 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: SLU Saints Triple: [St. Lawrence Saints men's ice hockey, nickname, SLU Saints]
Generated description
SLU Saints is the men's ice hockey team representing St. Lawrence University in NCAA Division I competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLU Saints Target entity description: SLU Saints is the men's ice hockey team representing St. Lawrence University in NCAA Division I competition.
-
A.
Saint Louis Billikens
The Saint Louis Billikens are the intercollegiate athletic teams that represent Saint Louis University in NCAA Division I competition.
-
B.
Southeast Missouri State Redhawks
The Southeast Missouri State Redhawks are the NCAA Division I athletic teams representing Southeast Missouri State University, competing primarily in the Ohio Valley Conference.
-
C.
Missouri Tigers
The Missouri Tigers are the athletic teams representing the University of Missouri, best known for their NCAA Division I sports programs and historic rivalries, particularly in football and basketball.
-
D.
SLU
SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
-
E.
SLU
SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada9c8408190b1bc327985366be9 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52a642c8190a50988f3faf61d39 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6745b40819083fbcb2a4063e34d |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d833d84c819083ffc81bda7d35d4 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:46 p.m.