Triple
T8750108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTokyo GSE |
E207935
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
GSE
GSE is the abbreviation for the Graduate School of Economics at the University of Tokyo, a leading institution for advanced economic research and education in Japan.
|
E755198
|
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: GSE | Statement: [UTokyo GSE, shortName, GSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSE Context triple: [UTokyo GSE, shortName, GSE]
-
A.
GSE
GSE is the Graduate School of Education at Portland State University, offering programs that prepare educators, counselors, and leaders in the field of education.
-
B.
GSE
GSE is the abbreviation commonly used for the Stanford Graduate School of Education, a leading institution for research and training in education.
-
C.
GSE
GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
-
D.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
E.
GS
GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
- 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: GSE Triple: [UTokyo GSE, shortName, GSE]
Generated description
GSE is the abbreviation for the Graduate School of Economics at the University of Tokyo, a leading institution for advanced economic research and education in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GSE Target entity description: GSE is the abbreviation for the Graduate School of Economics at the University of Tokyo, a leading institution for advanced economic research and education in Japan.
-
A.
GSE
GSE is the abbreviation commonly used for the Stanford Graduate School of Education, a leading institution for research and training in education.
-
B.
GSE
GSE is the Graduate School of Education at Portland State University, offering programs that prepare educators, counselors, and leaders in the field of education.
-
C.
GSE
GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
-
D.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
E.
GS
GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da5d474819084ae81d21a5089fa |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69cf45ff020c81909bfe20de50d3661a |
completed | April 3, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf46ab85088190b12e6eb969f2c65b |
completed | April 3, 2026, 4:48 a.m. |
Created at: March 30, 2026, 6:39 p.m.