Triple
T8882037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rauma-class fast attack craft |
E211433
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
FNS Raahe
FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
|
E764229
|
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: FNS Raahe | Statement: [Rauma-class fast attack craft, hasUnit, FNS Raahe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNS Raahe Context triple: [Rauma-class fast attack craft, hasUnit, FNS Raahe]
-
A.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
-
B.
FNSP
FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
-
C.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
D.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
-
E.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
- 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: FNS Raahe Triple: [Rauma-class fast attack craft, hasUnit, FNS Raahe]
Generated description
FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNS Raahe Target entity description: FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
-
A.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
-
B.
FNSP
FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
-
C.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
D.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
-
E.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.