Triple
T23935407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Libertadores Pass |
E602621
|
entity |
| Predicate | majorCityOnArgentineSide |
P154418
|
FINISHED |
| Object | Mendoza |
—
|
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 | Statement: [Los Libertadores Pass, majorCityOnArgentineSide, Mendoza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCityOnArgentineSide Context triple: [Los Libertadores Pass, majorCityOnArgentineSide, Mendoza]
-
A.
countryCityArgentina
Indicates a relationship where a city is located within the country of Argentina.
-
B.
nearCityInArgentina
Indicates that one entity is located close to, but not necessarily within, a specified city in Argentina.
-
C.
countryCityParaguay
Indicates that a city is located within the country of Paraguay.
-
D.
southernmostCityOf
Indicates that one city is the geographically furthest south among all cities within a specified region or set.
-
E.
distanceFromBuenosAires
Indicates the measured distance between a given entity’s location and the city of Buenos Aires.
- 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_69f16151ebdc819086e9e1d7cc1f4f3c |
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.