Triple
T16965996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 19100 series |
E411540
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | ISO 19101-1 |
E1251908
|
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 19101-1 | Statement: [ISO 19100 series, hasPart, ISO 19101-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 19101-1 Context triple: [ISO 19100 series, hasPart, ISO 19101-1]
-
A.
ISO 19101
chosen
ISO 19101 is an international standard that defines the conceptual framework and reference model for geographic information within the ISO 19100 series.
-
B.
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.
-
C.
ISO 19107
ISO 19107 is an international standard that defines a conceptual schema for spatial geometry and topology in geographic information systems.
-
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 19108
ISO 19108 is an international standard that defines the temporal schema for geographic information, specifying how time is modeled and managed in geospatial datasets.
- 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_6a0148201f7c8190a964723ca7ef2b68 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:31 a.m.