Triple
T6189252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marcos Province |
E138143
|
entity |
| Predicate | hasAndeanGeography |
P1023
|
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: [San Marcos Province, hasAndeanGeography, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAndeanGeography Context triple: [San Marcos Province, hasAndeanGeography, true]
-
A.
includesHighestMountainInWesternHemisphere
Indicates that the subject entity contains within its boundaries the tallest mountain located in the Western Hemisphere.
-
B.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
C.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
D.
hasMajorMountainRange
chosen
Indicates that one entity possesses, contains, or is geographically associated with a principal or significant mountain range.
-
E.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.