Triple
T7510887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Eccles School of Business |
E177514
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
SFEBB
SFEBB is a major academic and classroom building of the University of Utah’s David Eccles School of Business, housing business education facilities and resources.
|
E669938
|
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: SFEBB | Statement: [David Eccles School of Business, hasFacility, SFEBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFEBB Context triple: [David Eccles School of Business, hasFacility, SFEBB]
-
A.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
-
B.
SFAS
SFAS is a series of authoritative U.S. accounting standards issued by the Financial Accounting Standards Board that historically guided financial reporting practices.
-
C.
SFB
SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
-
D.
SFB
SFB is the FAA airport code for Orlando Sanford International Airport, a commercial airport serving the Orlando, Florida metropolitan area.
-
E.
EBB
EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
- 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: SFEBB Triple: [David Eccles School of Business, hasFacility, SFEBB]
Generated description
SFEBB is a major academic and classroom building of the University of Utah’s David Eccles School of Business, housing business education facilities and resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFEBB Target entity description: SFEBB is a major academic and classroom building of the University of Utah’s David Eccles School of Business, housing business education facilities and resources.
-
A.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
-
B.
SFAS
SFAS is a series of authoritative U.S. accounting standards issued by the Financial Accounting Standards Board that historically guided financial reporting practices.
-
C.
SFB
SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
-
D.
SFB
SFB is the FAA airport code for Orlando Sanford International Airport, a commercial airport serving the Orlando, Florida metropolitan area.
-
E.
EBB
EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84614e8608190b6d683e4402a6275 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c847380f08819082d96a4a8e3143a4 |
completed | March 28, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c847b5787c81908bfe5b71a1494b54 |
completed | March 28, 2026, 9:27 p.m. |
Created at: March 27, 2026, 3:45 p.m.