Triple
T23402729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivera |
E559548
|
entity |
| Predicate | borderTypeWithSantanaDoLivramento |
P38214
|
FINISHED |
| Object | dry 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: dry border | Statement: [Rivera, borderTypeWithSantanaDoLivramento, dry border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeWithSantanaDoLivramento Context triple: [Rivera, borderTypeWithSantanaDoLivramento, dry border]
-
A.
borderWithin
Indicates that one region’s border lies entirely inside the boundary of another region.
-
B.
borderArea
Indicates that an area lies along or near the boundary between two regions, countries, or territories.
-
C.
borderCharacteristic
chosen
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
-
D.
borderTypeWithVenezuela
Indicates the specific type or nature of the border that an entity shares with Venezuela.
-
E.
borderStreet
Indicates that a street forms or lies along the boundary between two geographic areas or properties.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e09ccc81909869d2c5f6d68432 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.