Triple
T16966039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 19100 series |
E411540
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | ISO 19160-3 |
E1242591
|
NE FINISHED |
How this triple was built (2 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 19160-3 | Statement: [ISO 19100 series, hasPart, ISO 19160-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 19160-3 Context triple: [ISO 19100 series, hasPart, ISO 19160-3]
-
A.
ISO 19160
chosen
ISO 19160 is an international standard within the ISO 19100 geographic information series that defines concepts and guidelines for addressing and address data management.
-
B.
ISO 19163
ISO 19163 is an international standard within the ISO 19100 geographic information series that defines a conceptual schema and encoding for image and gridded data.
-
C.
ISO 19162
ISO 19162 is an international standard that defines a well-known text (WKT) representation for coordinate reference systems used in geographic information systems and geospatial data.
-
D.
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.
-
E.
ISO 19144
ISO 19144 is an international standard within the ISO 19100 geographic information series that defines a framework for classification systems and land cover classification for geospatial data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232d6360819080ac00b8e56f098d |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.