Triple
T15899247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Hylacomylus |
E385540
|
entity |
| Predicate | mapInnovation |
P44717
|
FINISHED |
| Object | first printed world map to name America |
—
|
LITERAL 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: first printed world map to name America | Statement: [Martin Hylacomylus, mapInnovation, first printed world map to name America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapInnovation Context triple: [Martin Hylacomylus, mapInnovation, first printed world map to name America]
-
A.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
B.
cartographicInnovation
chosen
Indicates the introduction or use of new methods, techniques, or technologies in map-making or geographic representation.
-
C.
innovationLevel
Indicates the degree or extent to which something is new, original, or creatively advanced compared to existing norms or solutions.
-
D.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
E.
smartCityProjects
Indicates a relationship where a city undertakes or is associated with projects that apply digital, data-driven, or intelligent technologies to improve urban services and infrastructure.
- F. None of above.
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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.