Triple
T9708605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan de la Cosa |
E234961
|
entity |
| Predicate | mapMedium |
P35187
|
FINISHED |
| Object | vellum |
—
|
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: vellum | Statement: [Juan de la Cosa, mapMedium, vellum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapMedium Context triple: [Juan de la Cosa, mapMedium, vellum]
-
A.
mapNumber
Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
-
B.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
C.
mapDisplay
Indicates that something is being visually represented or shown on a map interface.
-
D.
representsMedium
chosen
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
E.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.