Triple
T12876486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leticia |
E307981
|
entity |
| Predicate | accessToCountry |
P71083
|
FINISHED |
| Object | Brazil via Tabatinga |
—
|
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: Brazil via Tabatinga | Statement: [Leticia, accessToCountry, Brazil via Tabatinga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessToCountry Context triple: [Leticia, accessToCountry, Brazil via Tabatinga]
-
A.
accessCountry
chosen
Indicates that an entity has access to, operates within, or is associated with activities in a specified country.
-
B.
authorizedCountry
Indicates that one entity (such as an activity, product, or permission) is officially allowed, recognized, or valid within the jurisdiction of a specified country.
-
C.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
D.
enteredCountry
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
E.
viaCountry
Indicates that something passes through, transits, or is routed by way of a specified country.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:38 p.m.