Triple
T16966019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 19100 series |
E411540
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | ISO 19133 |
—
|
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 19133 | Statement: [ISO 19100 series, hasPart, ISO 19133]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 19133 Context triple: [ISO 19100 series, hasPart, ISO 19133]
-
A.
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.
-
B.
ISO 19131
ISO 19131 is an international standard in the ISO 19100 geographic information series that defines requirements for specifying and documenting geospatial data products.
-
C.
ISO 19136
ISO 19136 is the international standard that defines the Geography Markup Language (GML), an XML-based format for modeling, transporting, and storing geographic information.
-
D.
ISO 19139
ISO 19139 is an international standard that defines XML schemas for encoding and exchanging geographic metadata in accordance with the ISO 19115 standard.
-
E.
ISO 19110
ISO 19110 is an international standard that defines a methodology for cataloguing geographic feature types and their attributes to support consistent geospatial data modeling and interoperability.
- 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 19133 Target entity description: ISO 19133 is an international standard within the ISO 19100 geographic information series that specifies requirements and models for tracking and navigation services based on location data.
-
A.
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.
-
B.
ISO 19131
ISO 19131 is an international standard in the ISO 19100 geographic information series that defines requirements for specifying and documenting geospatial data products.
-
C.
ISO 19136
ISO 19136 is the international standard that defines the Geography Markup Language (GML), an XML-based format for modeling, transporting, and storing geographic information.
-
D.
ISO 19139
ISO 19139 is an international standard that defines XML schemas for encoding and exchanging geographic metadata in accordance with the ISO 19115 standard.
-
E.
ISO 19110
ISO 19110 is an international standard that defines a methodology for cataloguing geographic feature types and their attributes to support consistent geospatial data modeling and interoperability.
- 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.