Triple
T24448054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mercado de seguros de Chile |
E616456
|
entity |
| Predicate | tipoDeCobertura |
P38809
|
FINISHED |
| Object | coberturas obligatorias |
—
|
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: coberturas obligatorias | Statement: [mercado de seguros de Chile, tipoDeCobertura, coberturas obligatorias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeCobertura Context triple: [mercado de seguros de Chile, tipoDeCobertura, coberturas obligatorias]
-
A.
typeOfCoverage
chosen
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
B.
typeOfHeritageCovered
Indicates that something specifies the category or kind of heritage (e.g., cultural, natural, mixed) that is included or protected in a given context.
-
C.
mannerOfCoverage
Indicates the way or style in which something is covered, reported, or presented.
-
D.
typeOfDiscriminationCovered
Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
-
E.
guaranteeCoverage
Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29855710c8190b13dd65f96fffd29 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.