Triple
T15932277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISVAP |
E386350
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | IVASS |
E82774
|
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: IVASS | Statement: [ISVAP, replacedBy, IVASS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IVASS Context triple: [ISVAP, replacedBy, IVASS]
-
A.
IVASS
chosen
IVASS is the Italian Insurance Supervisory Authority responsible for regulating and overseeing the insurance and reinsurance markets in Italy.
-
B.
Instituto Nacional de Industria
The Instituto Nacional de Industria was a Spanish state-owned industrial holding company that played a central role in promoting and managing key sectors of Spain’s postwar industrialization.
-
C.
INSA
INSA is India’s premier national academy dedicated to promoting excellence in science and representing the country’s scientific community at national and international levels.
-
D.
Brazilian Securities and Exchange Commission
The Brazilian Securities and Exchange Commission is the federal regulatory authority responsible for overseeing and enforcing securities and capital markets laws in Brazil.
-
E.
INSA Group
INSA Group is a leading French network of public engineering schools known for its strong emphasis on scientific and technological education and research.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a6d9b88190b461d12d69b12ac0 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b2a8888190824f2252b65920f2 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.