Triple
T23935406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Libertadores Pass |
E602621
|
entity |
| Predicate | majorCityOnChileanSide |
P154417
|
FINISHED |
| Object | Santiago |
—
|
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: Santiago | Statement: [Los Libertadores Pass, majorCityOnChileanSide, Santiago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCityOnChileanSide Context triple: [Los Libertadores Pass, majorCityOnChileanSide, Santiago]
-
A.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
B.
areaInChile
Indicates that a place, region, or geographic area is located within the national territory of Chile.
-
C.
hasPopulationRankInChile
Indicates the relative position of an entity in the ordered ranking of populations within Chile.
-
D.
isPartOfChileanTerritory
Indicates that one entity is geographically or politically included within the official territory of Chile.
-
E.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
- 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.