Triple
T16966066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 19100 series |
E411540
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | ISO 19195 |
—
|
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 19195 | Statement: [ISO 19100 series, hasPart, ISO 19195]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 19195 Context triple: [ISO 19100 series, hasPart, ISO 19195]
-
A.
ISO 19185
ISO 19185 is an international standard within the ISO 19100 geographic information series that defines a registry and classification system for geographic information feature concepts.
-
B.
ISO 19190
ISO 19190 is an international standard within the ISO 19100 geographic information series that defines terminology and concepts related to geographic information and geomatics.
-
C.
ISO 19152
ISO 19152 is an international standard that defines the Land Administration Domain Model (LADM) for representing and managing land-related rights, responsibilities, and spatial information.
-
D.
ISO 19157
ISO 19157 is an international standard that defines principles and guidelines for describing, evaluating, and reporting the quality of geographic information and datasets.
-
E.
ISO 19171
ISO 19171 is an international standard within the ISO 19100 geographic information series that specifies guidelines for a particular aspect of geospatial data handling 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 19195 Target entity description: ISO 19195 is an international standard within the ISO 19100 geographic information series that defines rules and guidelines for a specific aspect of geospatial data or services.
-
A.
ISO 19185
ISO 19185 is an international standard within the ISO 19100 geographic information series that defines a registry and classification system for geographic information feature concepts.
-
B.
ISO 19190
ISO 19190 is an international standard within the ISO 19100 geographic information series that defines terminology and concepts related to geographic information and geomatics.
-
C.
ISO 19152
ISO 19152 is an international standard that defines the Land Administration Domain Model (LADM) for representing and managing land-related rights, responsibilities, and spatial information.
-
D.
ISO 19157
ISO 19157 is an international standard that defines principles and guidelines for describing, evaluating, and reporting the quality of geographic information and datasets.
-
E.
ISO 19171
ISO 19171 is an international standard within the ISO 19100 geographic information series that specifies guidelines for a particular aspect of geospatial data handling 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.