Triple
T28258390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of the Province of Buenos Aires |
E712512
|
entity |
| Predicate | largestProvinceByPopulationInArgentina |
P165739
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Government of the Province of Buenos Aires, largestProvinceByPopulationInArgentina, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestProvinceByPopulationInArgentina Context triple: [Government of the Province of Buenos Aires, largestProvinceByPopulationInArgentina, true]
-
A.
provinceOnArgentineSide
Indicates that the referenced province is located on the Argentine side of a border or boundary.
-
B.
majorCityOnArgentineSide
Indicates that the referenced city is a principal or major urban center located on the Argentine side of a border, region, or shared geographic feature.
-
C.
largestArgentineBase
Indicates that the subject is the largest Argentine base (e.g., by size, capacity, or another specified measure) among a relevant set of bases.
-
D.
countryCityArgentina
Indicates a relationship where a city is located within the country of Argentina.
-
E.
argentineSectorPartOf
Indicates that one entity is a sector or subdivision that forms a component part of a larger Argentine administrative or geographic unit.
- F. None of above. chosen
Provenance (4 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 27, 2026, 11:09 p.m.