Triple
T8482525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protein Data Bank |
E200553
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | wwPDB |
E200553
|
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: wwPDB | Statement: [Protein Data Bank, alsoKnownAs, wwPDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wwPDB Context triple: [Protein Data Bank, alsoKnownAs, wwPDB]
-
A.
PDB
PDB (Program Database) is a file format used by Microsoft development tools to store debugging and project state information for compiled programs.
-
B.
pdb
pdb is Python’s built-in interactive debugger, used to inspect and control the execution of Python programs for troubleshooting and development.
-
C.
Protein Data Bank
chosen
The Protein Data Bank is a global repository that archives and provides open access to 3D structural data of biological macromolecules such as proteins and nucleic acids.
-
D.
EMBL-EBI AlphaFold Protein Structure Database
The EMBL-EBI AlphaFold Protein Structure Database is a publicly accessible resource providing predicted 3D structures of proteins generated by DeepMind’s AlphaFold system.
-
E.
CASP (Critical Assessment of protein Structure Prediction)
CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a2b2e9081909f19712946c6ec20 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.