Triple
T23935429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Libertadores Pass |
E602621
|
entity |
| Predicate | provinceOnArgentineSide |
P154419
|
FINISHED |
| Object | Mendoza Province |
—
|
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: Mendoza Province | Statement: [Los Libertadores Pass, provinceOnArgentineSide, Mendoza Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceOnArgentineSide Context triple: [Los Libertadores Pass, provinceOnArgentineSide, Mendoza Province]
-
A.
argentineSectorPartOf
Indicates that one entity is a sector or subdivision that forms a component part of a larger Argentine administrative or geographic unit.
-
B.
unitArgentina
Indicates a relationship where an entity is associated with, belongs to, or is characterized as a unit related to Argentina.
-
C.
nearCityInArgentina
Indicates that one entity is located close to, but not necessarily within, a specified city in Argentina.
-
D.
hasSurfaceAreaInArgentina
Indicates that an entity occupies or includes some portion of its surface area within the geographic boundaries of Argentina.
-
E.
regionInBolivia
Indicates that a specified region is geographically located within the country of Bolivia.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9e8abc8190a3028a358265912e |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:02 p.m.