Triple
T5573376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstown State University |
E146256
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
YSU
YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
|
E531033
|
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: YSU | Statement: [Youngstown State University, shortName, YSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YSU Context triple: [Youngstown State University, shortName, YSU]
-
A.
YBSU
YBSU is the ICAO airport code for Sunshine Coast Airport in Queensland, Australia.
-
B.
TSU
TSU is the commonly used abbreviation for Ivane Javakhishvili Tbilisi State University, a major public research university in Tbilisi, Georgia.
-
C.
CSU
CSU is a conservative Christian-democratic political party operating exclusively in Bavaria and partnering federally with Germany’s Christian Democratic Union (CDU).
-
D.
CSU
CSU is a public research university located in downtown Cleveland, Ohio, known for its diverse academic programs and strong connections to regional industry and community partners.
-
E.
KSU
KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
- 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: YSU Triple: [Youngstown State University, shortName, YSU]
Generated description
YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YSU Target entity description: YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
-
A.
YBSU
YBSU is the ICAO airport code for Sunshine Coast Airport in Queensland, Australia.
-
B.
TSU
TSU is the commonly used abbreviation for Ivane Javakhishvili Tbilisi State University, a major public research university in Tbilisi, Georgia.
-
C.
CSU
CSU is a public research university located in downtown Cleveland, Ohio, known for its diverse academic programs and strong connections to regional industry and community partners.
-
D.
CSU
CSU is a conservative Christian-democratic political party operating exclusively in Bavaria and partnering federally with Germany’s Christian Democratic Union (CDU).
-
E.
KSU
KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02052dd0481909aba6863831357eb |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284ef6e48190bae9c9a1b1d77f5d |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c037b5be3c819098c8500350267a1e |
completed | March 22, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:37 p.m.