Triple
T22692661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sm proteins |
E561090
|
entity |
| Predicate | formsComplexWith |
P6653
|
FINISHED |
| Object |
U4 snRNA
U4 snRNA is a small nuclear RNA component of the spliceosome that pairs with U6 snRNA to help mediate pre-mRNA splicing in eukaryotic cells.
|
E1552440
|
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: U4 snRNA | Statement: [Sm proteins, formsComplexWith, U4 snRNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U4 snRNA Context triple: [Sm proteins, formsComplexWith, U4 snRNA]
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
U4 is a line of the Munich U-Bahn rapid transit system serving several central and eastern districts of Munich, Germany.
-
C.
U4
U4 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
D.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
E.
U4
U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
- 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: U4 snRNA Triple: [Sm proteins, formsComplexWith, U4 snRNA]
Generated description
U4 snRNA is a small nuclear RNA component of the spliceosome that pairs with U6 snRNA to help mediate pre-mRNA splicing in eukaryotic cells.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U4 snRNA Target entity description: U4 snRNA is a small nuclear RNA component of the spliceosome that pairs with U6 snRNA to help mediate pre-mRNA splicing in eukaryotic cells.
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
U4 is a line of the Munich U-Bahn rapid transit system serving several central and eastern districts of Munich, Germany.
-
C.
U4
U4 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
D.
U4
U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
-
E.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fb965fc8190830b24f0bf0e2e4d |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93d4b8e08190a0542ffc42f12814 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b94bbb9c88190a7ab0937d1b398a5 |
completed | May 18, 2026, 10:37 p.m. |
Created at: April 17, 2026, 3:13 p.m.