Triple
T10607043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretaría de Educación Pública |
E275901
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SEP |
E275901
|
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: SEP | Statement: [Secretaría de Educación Pública, shortName, SEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEP Context triple: [Secretaría de Educación Pública, shortName, SEP]
-
A.
SEP
chosen
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
-
B.
SEP
SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
-
C.
SEP
SEP is a peer-reviewed, open-access online reference work that provides in-depth scholarly articles on a wide range of topics in philosophy.
-
D.
SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
-
E.
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.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4b7aa48190bf7873b293571030 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:32 p.m.