Triple
T26048744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río de las Vueltas |
E647906
|
entity |
| Predicate | provinceCapitalCountry |
P16248
|
FINISHED |
| Object | Río Gallegos, Argentina (provincial context) |
—
|
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: Río Gallegos, Argentina (provincial context) | Statement: [Río de las Vueltas, provinceCapitalCountry, Río Gallegos, Argentina (provincial context)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceCapitalCountry Context triple: [Río de las Vueltas, provinceCapitalCountry, Río Gallegos, Argentina (provincial context)]
-
A.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
B.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
-
C.
regionCapital
chosen
Indicates that one entity is the capital city or administrative center of a specified region.
-
D.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 22, 2026, 9:10 a.m.