Triple
T14093973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hia C-ed O’odham |
E339202
|
entity |
| Predicate | borderIssues |
P16224
|
FINISHED |
| Object | affected by U.S.–Mexico border enforcement |
—
|
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: affected by U.S.–Mexico border enforcement | Statement: [Hia C-ed O’odham, borderIssues, affected by U.S.–Mexico border enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderIssues Context triple: [Hia C-ed O’odham, borderIssues, affected by U.S.–Mexico border enforcement]
-
A.
borderIssue
Indicates a dispute, conflict, or problem related to the definition, control, or management of a boundary between two or more entities.
-
B.
borderConcern
chosen
Indicates a relationship where one entity has issues, disputes, or security considerations related to its shared boundary or border with another entity.
-
C.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
D.
borderStreet
Indicates that a street forms or lies along the boundary between two geographic areas or properties.
-
E.
borderStateAcrossInternationalBorder
Indicates that one state shares a boundary with another state across an international border.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee47f0881908aea8b5231b93f2f |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.