Triple
T8587533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish Security Intelligence Service |
E203342
|
entity |
| Predicate | usesAcronym |
P43
|
FINISHED |
| Object | Supo |
E746182
|
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: Supo | Statement: [Finnish Security Intelligence Service, usesAcronym, Supo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supo Context triple: [Finnish Security Intelligence Service, usesAcronym, Supo]
-
A.
Supo
Supo is Finland’s national security and intelligence agency responsible for counterintelligence, counterterrorism, and protecting the country’s internal security.
-
B.
SUPO
chosen
SUPO is Finland’s national security and intelligence agency responsible for counterintelligence, counterterrorism, and protecting the country’s internal security.
-
C.
Poro
Poro is a municipality located on Poro Island in the province of Cebu in the Philippines.
-
D.
Ratapoil
Ratapoil is a satirical character created by French artist Honoré Daumier, embodying the cynical, manipulative political agent of mid-19th-century France.
-
E.
Podoboos
Podoboos are recurring fireball enemies in the Super Mario video game series that leap from lava, often serving as hazards in Bowser’s Castle stages.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457dc76481908ec5ee31ad72e887 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc7a6e28819090e988343be42a1b |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:23 p.m.