Triple
T24798582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nogales border crossing |
E620456
|
entity |
| Predicate | borderBarrierType |
P14206
|
FINISHED |
| Object | fenced border |
—
|
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: fenced border | Statement: [Nogales border crossing, borderBarrierType, fenced border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderBarrierType Context triple: [Nogales border crossing, borderBarrierType, fenced border]
-
A.
borderPostType
Indicates the specific kind or classification of a border post associated with a boundary or crossing point.
-
B.
borderCharacteristic
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
-
C.
hasBorderFacilityType
chosen
Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
-
D.
borderTypeWithXenia
Indicates the type or nature of the border or boundary that an entity has in relation to Xenia.
-
E.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:49 a.m.