Triple
T16966017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 19100 series |
E411540
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | ISO 19131 |
—
|
NE NERFINISHED |
How this triple was built (3 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: ISO 19131 | Statement: [ISO 19100 series, hasPart, ISO 19131]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 19131 Context triple: [ISO 19100 series, hasPart, ISO 19131]
-
A.
ISO 19111
ISO 19111 is an international standard that defines the conceptual schema for spatial referencing by coordinates, including coordinate reference systems and transformations used in geospatial information.
-
B.
ISO 19130
ISO 19130 is an international standard in the ISO 19100 geographic information series that defines sensor models and metadata for geolocation of remotely sensed imagery.
-
C.
ISO 19112
ISO 19112 is an international standard in the ISO 19100 geographic information series that defines a framework for referencing spatial locations using geographic identifiers rather than coordinates.
-
D.
ISO 19103
ISO 19103 is an international standard within the ISO 19100 geographic information series that defines a conceptual schema language for modeling and describing geographic information.
-
E.
ISO 19101
ISO 19101 is an international standard that defines the conceptual framework and reference model for geographic information within the ISO 19100 series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ISO 19131 Target entity description: ISO 19131 is an international standard in the ISO 19100 geographic information series that defines requirements for specifying and documenting geospatial data products.
-
A.
ISO 19111
ISO 19111 is an international standard that defines the conceptual schema for spatial referencing by coordinates, including coordinate reference systems and transformations used in geospatial information.
-
B.
ISO 19130
ISO 19130 is an international standard in the ISO 19100 geographic information series that defines sensor models and metadata for geolocation of remotely sensed imagery.
-
C.
ISO 19112
ISO 19112 is an international standard in the ISO 19100 geographic information series that defines a framework for referencing spatial locations using geographic identifiers rather than coordinates.
-
D.
ISO 19103
ISO 19103 is an international standard within the ISO 19100 geographic information series that defines a conceptual schema language for modeling and describing geographic information.
-
E.
ISO 19101
ISO 19101 is an international standard that defines the conceptual framework and reference model for geographic information within the ISO 19100 series.
- F. None of above. chosen
Provenance (2 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a3cecc8190a490573adce80cca |
completed | April 18, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:31 a.m.