Triple
T8510321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Edward's School, Oxford |
E201435
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SES |
E201435
|
NE FINISHED |
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: SES | Statement: [St Edward's School, Oxford, abbreviation, SES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SES Context triple: [St Edward's School, Oxford, abbreviation, SES]
-
A.
SES
SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
-
B.
SES
chosen
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
-
C.
ESS
ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
-
D.
SEP
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
-
E.
SEP
SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3faa0c81908533e9097ed29b26 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:15 p.m.