Triple
T24448059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mercado de seguros de Chile |
E616456
|
entity |
| Predicate | ciudadPrincipalDeOperación |
P14306
|
FINISHED |
| Object | Santiago de Chile |
—
|
NE NERFINISHED |
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: Santiago de Chile | Statement: [mercado de seguros de Chile, ciudadPrincipalDeOperación, Santiago de Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ciudadPrincipalDeOperación Context triple: [mercado de seguros de Chile, ciudadPrincipalDeOperación, Santiago de Chile]
-
A.
hasBaseOfOperations
Indicates that an entity uses a particular location as its primary place of operation or activity.
-
B.
notableCityOfOperation
chosen
Indicates that a city is a primary or particularly significant location where an entity conducts its operations or activities.
-
C.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
D.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
E.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
- 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.