Triple
T19846141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Nuclear Sciences and Physical Engineering |
E476863
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
FNSPE
FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
|
E1399226
|
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: FNSPE | Statement: [Faculty of Nuclear Sciences and Physical Engineering, abbreviation, FNSPE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNSPE Context triple: [Faculty of Nuclear Sciences and Physical Engineering, abbreviation, FNSPE]
-
A.
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.
-
B.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
-
C.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
D.
FNS Raahe
FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
-
E.
FSP
FSP is the station code used to identify Schweizer Platz station in the Frankfurt public transport network.
- 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: FNSPE Triple: [Faculty of Nuclear Sciences and Physical Engineering, abbreviation, FNSPE]
Generated description
FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNSPE Target entity description: FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
-
A.
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.
-
B.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
-
C.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
D.
FNS Raahe
FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
-
E.
FSP
FSP is the station code used to identify Schweizer Platz station in the Frankfurt public transport network.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65809da2c8190bb579ef42513b74d |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43cfb388190b48f433c00026617 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 1:51 p.m.