Triple
T18257736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PROFINET RT |
E437258
|
entity |
| Predicate | configurationFileFormat |
P80623
|
FINISHED |
| Object |
GSDML
GSDML is an XML-based device description format used to define and configure PROFINET devices in industrial automation systems.
|
E1314752
|
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: GSDML | Statement: [PROFINET RT, configurationFileFormat, GSDML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSDML Context triple: [PROFINET RT, configurationFileFormat, GSDML]
-
A.
RDML
RDML is the U.S. Navy and Coast Guard rank abbreviation for rear admiral (lower half), a one-star flag officer grade.
-
B.
Protein Information Resource
Protein Information Resource is a bioinformatics resource center that curates, annotates, and provides access to comprehensive protein sequence and functional information for the scientific community.
-
C.
GDS
GDS (the Government Digital Service) is a unit of the UK government responsible for transforming public services through digital technology and user‑centred design.
-
D.
GSD
GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
-
E.
GSD
GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
- 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: GSDML Triple: [PROFINET RT, configurationFileFormat, GSDML]
Generated description
GSDML is an XML-based device description format used to define and configure PROFINET devices in industrial automation systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GSDML Target entity description: GSDML is an XML-based device description format used to define and configure PROFINET devices in industrial automation systems.
-
A.
RDML
RDML is the U.S. Navy and Coast Guard rank abbreviation for rear admiral (lower half), a one-star flag officer grade.
-
B.
Protein Information Resource
Protein Information Resource is a bioinformatics resource center that curates, annotates, and provides access to comprehensive protein sequence and functional information for the scientific community.
-
C.
GDS
GDS (the Government Digital Service) is a unit of the UK government responsible for transforming public services through digital technology and user‑centred design.
-
D.
GSD
GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
-
E.
GSD
GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac7afdcc81908d0b2ce1d3a4f175 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad1e02b48190a23789b2e62d820b |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03adef02fc81909d78aaf558c2cab6 |
completed | May 12, 2026, 10:47 p.m. |
Created at: April 10, 2026, 10:34 a.m.