Triple
T34523051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cartografía geológica oficial de Chile |
E886327
|
entity |
| Predicate | formato |
P130
|
FINISHED |
| Object | formato impreso |
—
|
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: formato impreso | Statement: [cartografía geológica oficial de Chile, formato, formato impreso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formato Context triple: [cartografía geológica oficial de Chile, formato, formato impreso]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
temFormato
Indicates that one entity has, uses, or conforms to a specific format defined by another entity.
-
C.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
D.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
E.
usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
- 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_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 2:02 a.m.