Triple
T10476424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Audit Office of Poland |
E247054
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | EUROSAI |
E543240
|
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: EUROSAI | Statement: [Supreme Audit Office of Poland, memberOf, EUROSAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EUROSAI Context triple: [Supreme Audit Office of Poland, memberOf, EUROSAI]
-
A.
EUROSAI
chosen
EUROSAI is the regional organization of European supreme audit institutions that promotes cooperation, knowledge sharing, and capacity building in public-sector auditing across Europe.
-
B.
CSIEA
CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
-
C.
IASA
IASA is a major 1994 U.S. federal education law that reauthorized and reformed the Elementary and Secondary Education Act to raise academic standards and accountability in public schools.
-
D.
Eurosam
Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
-
E.
ESCAC
ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095021e081908dfaa467938c13fd |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a01d8b888190a9137b104f0e0c0c |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:21 p.m.