Triple
T34523039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cartografía geológica oficial de Chile |
E886327
|
entity |
| Predicate | escalaTípica |
P57967
|
FINISHED |
| Object | 1:1.000.000 |
—
|
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: 1:1.000.000 | Statement: [cartografía geológica oficial de Chile, escalaTípica, 1:1.000.000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: escalaTípica Context triple: [cartografía geológica oficial de Chile, escalaTípica, 1:1.000.000]
-
A.
ascendingScaleType
Indicates that the relationship specifies the type or pattern of an ascending (upward-moving) scale used in a musical or ordered sequence context.
-
B.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
C.
typicalHighestLevel
Indicates the usual or most common maximum level or degree that something typically reaches within a given context.
-
D.
typicalMeasure
chosen
Indicates the standard or characteristic quantitative measure typically associated with something, such as its usual size, weight, duration, or other magnitude.
-
E.
typicalBase
Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb4096c8190a752bbe3c026db2f |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.