Triple
T26301925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapa Topográfico Nacional de España |
E661580
|
entity |
| Predicate | scaleSeries |
P123565
|
FINISHED |
| Object | multi‑scale series |
—
|
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: multi‑scale series | Statement: [Mapa Topográfico Nacional de España, scaleSeries, multi‑scale series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleSeries Context triple: [Mapa Topográfico Nacional de España, scaleSeries, multi‑scale series]
-
A.
seriesScale
Indicates that one value or measurement is expressed relative to another according to a defined proportional scale within a series.
-
B.
seriesRepresentation
Indicates that one entity is a representation, installment, or component within a larger series associated with another entity.
-
C.
seriesWith
chosen
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
-
D.
connectorSeries
Indicates that one connector belongs to a specific series or family of related connectors.
-
E.
labelSeries
Indicates that a label or identifier is assigned to a particular series, linking the label to that series as its designation.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 26, 2026, 10:16 p.m.