Triple
T20850189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ÖIS |
E513336
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ÖIS |
—
|
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: ÖIS | Statement: [ÖIS, shortName, ÖIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ÖIS Context triple: [ÖIS, shortName, ÖIS]
-
A.
ÖIS
chosen
ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
-
B.
Oisín
Oisín is a legendary poet-warrior of the Fianna in Irish mythology, famed for his adventures and his journey to the otherworldly land of Tír na nÓg.
-
C.
OEI
OEI is the Spanish-Portuguese acronym for the Organization of Ibero-American States, an international body that promotes cooperation in education, science, and culture among Ibero-American countries.
-
D.
OEI
OEI is a division within the U.S. Department of Health and Human Services Office of Inspector General that conducts evaluations and inspections to improve the efficiency and effectiveness of HHS programs.
-
E.
OEI
OEI is the Office of Environmental Information within the U.S. Environmental Protection Agency, responsible for managing environmental data, information policy, and related technology systems.
- 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.