Triple
T2175224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GML |
E48510
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
WMS
WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
|
E242851
|
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: WMS | Statement: [GML, relatedTo, WMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WMS Context triple: [GML, relatedTo, WMS]
-
A.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
B.
WLM
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
-
C.
DWM
DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
Cargo
Cargo is Rust’s official build and dependency management tool that streamlines compiling code, managing libraries, and distributing Rust packages.
- 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: WMS Triple: [GML, relatedTo, WMS]
Generated description
WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WMS Target entity description: WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
-
A.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
B.
WLM
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
-
C.
DWM
DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
Cargo
Cargo is Rust’s official build and dependency management tool that streamlines compiling code, managing libraries, and distributing Rust packages.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbece30888190936853740ff6cb02 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d9eff988190a02734bd73616cba |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.