Triple
T24408607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio Las Américas a la Narrativa Latinoamericana |
E615380
|
entity |
| Predicate | ubicaciónHabitualDeEntrega |
P91831
|
FINISHED |
| Object | Guadalajara, México |
—
|
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: Guadalajara, México | Statement: [Premio Las Américas a la Narrativa Latinoamericana, ubicaciónHabitualDeEntrega, Guadalajara, México]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ubicaciónHabitualDeEntrega Context triple: [Premio Las Américas a la Narrativa Latinoamericana, ubicaciónHabitualDeEntrega, Guadalajara, México]
-
A.
locationOfDelivery
Indicates the place or address where an item, service, or shipment is to be delivered.
-
B.
typicalDestinationAddress
chosen
Indicates the address that is most commonly or usually used as the destination for something or someone.
-
C.
deliveryPointType
Indicates the specific kind or category of location where a delivery is intended to be made.
-
D.
locationOfRecipients
Indicates the place or geographic area where the intended recipients of something are situated.
-
E.
deliveredNear
Indicates that one entity was delivered to a location that is geographically close to, but not necessarily exactly at, another specified entity or reference point.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2957fab0481909121c6da6b5e34c0 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.