Triple
T24531434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Andes, Chile |
E606820
|
entity |
| Predicate | hasBorderRoleWith |
P37800
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Los Andes, Chile, hasBorderRoleWith, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderRoleWith Context triple: [Los Andes, Chile, hasBorderRoleWith, Argentina]
-
A.
hasBorderRole
Indicates that an entity holds a specific functional or administrative role related to a border or boundary between regions or jurisdictions.
-
B.
hasBorderElement
Indicates that one entity includes or is associated with another entity that forms part of its boundary or edge.
-
C.
hasBorderThrough
Indicates that a border between two regions or entities passes through or along a specified intermediate area, feature, or object.
-
D.
hasBorderControlRole
Indicates that an entity holds a role or responsibility related to managing, enforcing, or overseeing border control activities.
-
E.
hasBorderRelation
chosen
Indicates that one entity shares a boundary or border with another entity.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.