Triple
T20850136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESGP |
E513334
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | GSE |
—
|
NE NERFINISHED |
How this triple was built (2 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: [ESGP, hasIATACode, GSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSE Context triple: [ESGP, hasIATACode, GSE]
-
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
chosen
GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
-
D.
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.
-
E.
GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c352ca8c819094545dbe67bfe3dc |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.