Triple
T26576184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisca Bazán de Laguna |
E666952
|
entity |
| Predicate | countryOfLocationOfPropertyOwned |
P80353
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Francisca Bazán de Laguna, countryOfLocationOfPropertyOwned, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLocationOfPropertyOwned Context triple: [Francisca Bazán de Laguna, countryOfLocationOfPropertyOwned, Argentina]
-
A.
countryEstateOf
chosen
Indicates that one entity is the rural or countryside property owned, controlled, or associated with another entity.
-
B.
residenceCountry
Indicates the country in which an entity lives or has their primary place of residence.
-
C.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
D.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
E.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 27, 2026, 2 a.m.