Triple
T2730177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sociedade Esportiva Palmeiras |
E60291
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SEP
SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
|
E293288
|
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: SEP | Statement: [Sociedade Esportiva Palmeiras, abbreviation, SEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEP Context triple: [Sociedade Esportiva Palmeiras, abbreviation, SEP]
-
A.
SEP
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
-
B.
SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
-
C.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
D.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
E.
SE
SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
- 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: SEP Triple: [Sociedade Esportiva Palmeiras, abbreviation, SEP]
Generated description
SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEP Target entity description: SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
-
A.
SEP
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
-
B.
SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
-
C.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
D.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
E.
SE
SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaeca6208190a586afb00747146a |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69c9f648190bbbcfa42ab68c6f2 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb75ea498819089c79e63052e9696 |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb83ba6dc8190931d691d3e354bd7 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:56 p.m.